OnlyDataJobs.com

Epidemic Sound AB
  • Stockholm, Sweden

We are now looking for an experienced Machine Learning Specialist (you’re likely currently a Data Scientist, or perhaps an advanced Insight Analyst who’s had the opportunity to use Machine Learning in a commercial environment). 



Job description


The position as a Machine Learning Specialist will report directly in to the CTO, in a fresh new team which functions as a de-centralised squad, delivering advanced analysis and machine learning to various departments throughout the company. You’ll work alongside Data Engineers and Developers to deploy microservices solving many different business needs. The use cases range from Customer Lifetime Value & Churn prediction – to building fantastic recommender engines to further personalize Epidemic Sound’s offering.


You will be working closely with the backend data team in developing robust, scalable algorithms. You will improve the personalization of the product by:



  • Analysing behaviours of visitors, identifying patterns and outliers which can indicate their likelihood to Churn.

  • Developing classification systems through feature extraction on music to identify type & ‘feel’ of any given content.

  • Creating recommender engines so that the music our users see first, is relevant to them based on their behaviours.

  • Contributing to the automation of previously manual tasks, by leveraging the classification systems you’ve contributed to building.

  • Consulting on appropriate implementation of algorithms in practice – and actively identifying new use cases that can help improve Epidemic Sound!



What are we looking for?


We’re looking for a team member with a “no task is too small” mindset – we are at the beginning of our Machine Learning journey – so we need someone who thinks building something from scratch sounds exciting. 


It would be music to our ears if you have:



  • Deep understanding of machine learning (neural networks, deep learning, classification, regression)

  • Experience with machine learning in production

  • Experience with: tensorflow, keras, pytorch, sciki-learn, scipy, numpy, pandas or similar

  • Experience with ml projects in customer value or music information retrieval (MIR)

  • Fluency in python programming and a passion for production ready code

  • Experience from Google Cloud and/or AWS

  • MSc in a Quantitative or Computer Science based subject (Machine Learning, Statistics, Applied Mathematics)


Curious about our music? Find our music on Spotify here → https://open.spotify.com/user/epidemicsound


Application


Do you want to be a part of our fantastic team? Please apply by clicking the link below.

Elev8 Hire Solutions
  • Atlanta, GA

Sr. Python Developer/Data Scientist

We are an AI parts inventory optimization software that makes it easy for enterprises to manage their maintenance and repair operations (MRO). We've raised millions in venture funding from both Silicon Valley and Boston and are growing fast. Are you a driven software engineer interested in being a part of that growth?

Role Expectations/Responsibilities:

  • Write clean, maintainable, thoroughly tested,code
  • Participate in product, design, and code reviews
  • QA and ship code daily
  • Identify, incorporate, and communicate best practices

Required Skills:

  • 10+ years of software engineering experience
  • Proficient in Python
  • Proficient in SciPy and SciKit
  • Experience in a python testing framework
  • Proficient in neural network theory
  • Proficient in general machine learning algorithms
  • Proficient in using Tensorflow
  • Proficient in using Keras
  • Proficient in architecting, testing, optimizing, and deploying deep learning models
  • Competency in Git
  • Experience with data structures, algorithm design, problem-solving, and complexity analysis

Nice to have:

  • Experience in a startup environment
  • Experience working on a small team with high visibility
  • Ability to handle a high volume of projects

Benefits:

  • Health/dental/vision coverage
  • 15 Days PTO
  • Option for 1 day remote
Facebook
  • Menlo Park, CA

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.


We are seeking a Data Scientist to join our AI Data Science and Analytics team, focusing on Video Understanding. Facebook is the second largest online video platform in the world. Video at its heart is a social experience, as people talk about and talk through video. Users upload their own videos. They go Live and broadcast to their friends. Pages upload tens of millions of hours a day. The mission of the Video Understanding team at Facebook is responsible to create highly personalized video experiences for Facebook users. This means understanding what a video is about, as well as what a given user is interested in. This role is focused on better understanding the ecosystem of videos on Facebook. That includes better understanding the types of videos we have (classification by different content types and publisher types); better understanding the types of user interactions we have (substantive discourse versus platitudes versus shares); better understanding the impact of video watching on our users, so that we can build brand new, personalized video experiences for our users.
We are looking for strong Data Scientists to help the team build compelling, personalized experiences around Video. This role works closely with both product and engineering teams to help define and execute on opportunities to improve and expand our video understanding and recommendation systems. Successful candidates for this role will have a background in a quantitative or technical field, will have experience with personalization, video ecosystems and working with large data sets, and will have experience in influencing decision making across different teams through data.

Responsibilities

  • Apply your analytical skills to gain deep insights into the data and ML model performance, and be able to clearly present your results and help guide cross-functional partners
  • Partner closely with Engineering, Product and User Research teams to solve problems and identify trends and opportunities. This is a very cross-functional role
  • Influencing the roadmap and decisions made by the team through presentation of data-based recommendations, and clearly communicating the state of the video understanding effort, experiment results, etc. to product teams
  • Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
  • Effectively communicate insights and recommendations to upper management in support of strategic decision-making
  • Plan, and be able to conduct as needed, end-to-end analyses, from data requirement gathering, to data processing and modeling
  • Own ongoing deliverables and communications

Minimum Qualifications

  • MS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, applied mathematics, physics, electrical engineering, industrial engineering) or equivalent experience
  • 10+ years experience doing quantitative analysis or statistical modeling
  • Knowledge of at least one modeling framework (e.g., scikit-learn, TensorFlow, SAS, R, MATLAB)
  • Experience influencing product strategy through data-centric presentations (to product, business, and other stakeholders)
  • Knowledge in at least one of the following areas: predictive modeling, machine learning, experimentation methods
  • Experience extracting and manipulating large datasets
  • Development experience in any scripting language (PHP, Python, Perl, etc.)
  • Experienced with packages such as NumPy, SciPy, pandas, scikit-learn, dplyr, ggplot2

Preferred Qualifications

  • 5+ years experience leading technical teams
  • Experience with distributed computing (Hive/Hadoop)

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Lawrence Harvey
  • Austin, TX

Applied Machine Learning Engineer - Austin TX


Lawrence Harvey is working with a phenomonal client here in the Austin that is transforming how enterprises execute on Artificial Intelligence and Machine Learning projects . It is a product based company quickly making a name for themselves, largely specializaing in visualization and NLP. They are  looking for a team lead to help meet the demand of their increasing clientele.


 As an Applied Machine Learning Engineer, you are responsible for implementing and maintaining AI capabilities in Alegions AI Enablement Platform and related software products.

It is important to have extensive experience in evaluating, integrating and deploying machine learning algorithms in a SaaS software platform.



Requirements:   


  • 2+ years of experience integrating machine learning algorithms into cloud platforms, including resource provisioning, installation, scaling, and validation, as well as building, training, and monitoring the machine learning production models
  • 5+ years of experience in developing software in Java, C++/C, and/or Python
  • Experience with all or some of the following machine learning, deep learning, computer vision, image processing, and data and image analysis tools (Tensorflow, Keras, Caffe2, Torch/PyTorch  OpenCV/FastCV, numpy, scipy, and scikit-learn)
  • Experience with data transformations, API wrappers and output formats used with machine learning algorithms
  • Hands-on, in-depth experience with AWS or other cloud infrastructure technologies



This company is truly changing the way data is processed and transformed within the visualization and NLP sphere. Be a part of something that is on the forefront of how we transform data.







Lawrence Harvey
  • Austin, TX

Senior Machine Learning Engineer - Austin TX


Lawrence Harvey is working with a phenomonal client here in the Austin that is transforming how enterprises execute on Artificial Intelligence and Machine Learning projects . It is a product based company quickly making a name for themselves, largely specializaing in visualization and NLP. They are  looking for a team lead to help meet the demand of their increasing clientele.


 As an Applied Machine Learning Engineer, you are responsible for implementing and maintaining AI capabilities in Alegions AI Enablement Platform and related software products.

It is important to have extensive experience in evaluating, integrating and deploying machine learning algorithms in a SaaS software platform.



Requirements:   


  • 2+ years of experience integrating machine learning algorithms into cloud platforms, including resource provisioning, installation, scaling, and validation, as well as building, training, and monitoring the machine learning production models
  • 5+ years of experience in developing software in Java, C++/C, and/or Python
  • Experience with all or some of the following machine learning, deep learning, computer vision, image processing, and data and image analysis tools (Tensorflow, Keras, Caffe2, Torch/PyTorch  OpenCV/FastCV, numpy, scipy, and scikit-learn)
  • Experience with data transformations, API wrappers and output formats used with machine learning algorithms
  • Hands-on, in-depth experience with AWS or other cloud infrastructure technologies



This company is truly changing the way data is processed and transformed within the visualization and NLP sphere. Be a part of something that is on the forefront of how we transform data.







Calabrio, Inc.
  • Minneapolis, MN
Rapid Prototype Developer
Minneapolis
Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business
We are looking for a passionate, driven software engineer to join our Rapid Prototype Team, with the focus on quickly developing new ideas with a fail fast and iterate mentality.
As the primary developer on the team, you will work closely with our Machine Learning (ML) Engineers to develop the teams early-stage ideas into prototypes. These prototypes are aimed at getting cutting-edge features in the hands of potential users as soon as possible, allowing these features to mature and eventually integrate into the Calabrio suite. You will be in charge of wrapping early-stage ML features in APIs, pulling data from various data sources, exposing features publicly and privately using web interfaces, building user interfaces, and capturing and storing user interactions. In this role, you will be unhindered by normal development processes and will have creative freedom to take your ideas and realize them as quickly as you develop them.
CORE EXPECTATIONS
    • Explore, prototype, and build new and innovative software applications
    • Collaborate with Machine Learning Engineers to transform concepts into internal and customer-facing prototypes
    • Ability to write back-end and front-end code in the framework that best suits the task
    • Build tools to visualize complex data in an easily digestible manner, especially for non-technical users
    • Ability to communicate clearly with customers, engineers, product owners, and executives alike
    • Think critically, analytically, and creatively

WHAT SKILLS ARE REQUIRED OF YOU TO APPLY?
    • Bachelors degree (computer science, engineering, or relevant field a plus)
    • 5+ years experience writing production Python code
    • Demonstrated proficiency in REST APIs, data cleaning, data processing, SQL databases, and NoSQL solutions
    • Familiarity with Linux/Unix
    • Experience managing and deploying code to cloud computing environments such as AWS
    • Comfortable in a results-oriented environment, specifically when faced with uncertainty, rapid change, and projects going unfinished

WHAT SKILLS WOULD SET YOU APART?
    • Curiosity in machine learning and artificial intelligence
    • Familiarity with the following Python modules at the API level: NumPy, SciPy, genism, spaCy, scikit-learn, Tensorflow, and Flask
    • Ability to build microservices in Docker

WHAT VALUES ARE IMPORTANT TO CALABRIO?
    • Collaboration amongst teams
    • Open communication across the company
    • Ambitious
    • Accountable
    • Customer Success!

Posted 6 Days Ago Full time R666
Calabrio is revolutionizing the way enterprises engage their customers with Calabrio ONE®, a unified suiteincluding call recording, quality management, workforce management and voice-of-the-customer analyticsthat records, captures and analyzes customer interactions to provide a single view of the customer, and improve the overall agent and customer experience. Calabrio ONE is easy to use, which empowers management to align activities and resources quickly with the demands of todays multichannel customer. The secure platform has a lower total cost of ownership and can be deployed and expanded on a public, private or hybrid cloud.
Calabrio has been a Star Tribune Top Workplace for 4 years in a row.
Find more at http://calabrio.com/ and follow @Calabrio on Twitter.
IBM
  • Austin, TX
The Role
We are seeking an architect to help ensure that data science applications and the most important learning frameworks leveraging the Python ecosystem offer industry-leading performance when run on the POWER microprocessor.

Your Impact
As part of the team that designed the #1 & #2 fastest supercomputers in the world, you will be part of a high profile initiative to optimize performance across all layers of the Python AI software stack for Power. This work will include libraries, Python packages, and learning frameworks such as TensorFlow and PyTorch for Power. This project provides opportunities to innovate in software optimization as well as exploitation of bleeding edge hardware architectures in upcoming processors.

Description
This role will involve identifying the libraries, frameworks and packages in the Python ecosystem that are most critical to machine learning/deep learning engineers and data scientists. Industry-standard benchmarks as well as open-source data sets and customer workloads will be used to stress this code in order to identify opportunities across the stack for performance improvement. Code will also be run on competitive platforms to understand relative areas of strength and weakness. Deliverables will include code implementation and improvements, tuning recommendations and whitepapers as well as sales collateral, and providing performance feedback to open source communities. Insights gained will be fed to hardware design teams to improve next-generation hardware.

Key Qualifications
  • Prior experience working with the Python community and CPython implementation.
  • Deep understanding of underlying mathematical operations that drive ML and Neural Networks
  • Experience with prototyping, extending the architecture and optimizing to leverage multi-threading, SIMD, or other accelerators such as GPUs or FPGAs
  • Strong understanding of memory layout, micro-architecture implications and experience working with compilers and interpreters
  • Hands-on experience with projects utilizing machine learning and deep learning techniques with at least one of the following - TensorFlow, PyTorch, Caffe.
  • Strong skills in Python, C, C++.
  • Previous experience contributing to open source projects.
  • Ability to work in a team, network with people outside of the team and effectively communicate in written and verbal presentations is essential.
  • Experience implementing or optimizing key Python packages such as NumPy, pandas, SciPy would be an asset.


*Required Professional and Technical Expertise
In this role, we require:

  • 5+ years in Python programming
  • Demonstrated experience implementing neural network or machine-learning algorithms
  • Experience with the internals of least one of TensorFlow or PyTorch (performance optimizations, feature additions, bugfixes etc.)
  • Knowledge of modern microprocessor design
  • Experience using acceleration technologies for data science applications (GPU, FPGA, SIMD, custom ASIC etc.)
  • Passion for continuous improvement in building knowledge base both technically and professionally
  • Minimum BS OR MS degree in Computer Science, Computer Engineering or a related technical discipline or equivalent experience.

*Preferred Professional and Technical Expertise

  • Experience with multiple frameworks
  • Recognized status in a key open source community
  • In-depth knowledge of AIs application in industry

Calabrio, Inc.
  • Minneapolis, MN
Rapid Prototype Developer
Minneapolis
Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business
We are looking for a passionate, driven software engineer to join our Rapid Prototype Team, with the focus on quickly developing new ideas with a fail fast and iterate mentality.
As the primary developer on the team, you will work closely with our Machine Learning (ML) Engineers to develop the teams early-stage ideas into prototypes. These prototypes are aimed at getting cutting-edge features in the hands of potential users as soon as possible, allowing these features to mature and eventually integrate into the Calabrio suite. You will be in charge of wrapping early-stage ML features in APIs, pulling data from various data sources, exposing features publicly and privately using web interfaces, building user interfaces, and capturing and storing user interactions. In this role, you will be unhindered by normal development processes and will have creative freedom to take your ideas and realize them as quickly as you develop them.
CORE EXPECTATIONS
    • Explore, prototype, and build new and innovative software applications
    • Collaborate with ML Engineers to transform concepts into internal and customer-facing prototypes
    • Ability to write back-end and front-end code in the framework that best suits the task
    • Build tools to visualize complex data in an easily digestible manner, especially for non-technical users
    • Ability to communicate clearly with customers, engineers, product owners, and executives alike
    • Think critically, analytically, and creatively

WHAT SKILLS ARE REQUIRED OF YOU TO APPLY?
    • Bachelors degree (computer science, engineering, or relevant field a plus)
    • 5+ years experience writing production Python code
    • Demonstrated proficiency in REST APIs, data cleaning, data processing, SQL databases, and NoSQL solutions
    • Familiarity with Linux/Unix
    • Experience managing and deploying code to cloud computing environments such as AWS
    • Comfortable in a results-oriented environment, specifically when faced with uncertainty, rapid change, and projects going unfinished

WHAT SKILLS WOULD SET YOU APART?
    • Curiosity in machine learning and artificial intelligence
    • Familiarity with the following Python modules at the API level: NumPy, SciPy, genism, spaCy, scikit-learn, Tensorflow, and Flask
    • Ability to build microservices in Docker

WHAT VALUES ARE IMPORTANT TO CALABRIO?
    • Collaboration amongst teams
    • Open communication across the company
    • Ambitious
    • Accountable
    • Customer Success!

Posted Yesterday Full time R666
Calabrio is revolutionizing the way enterprises engage their customers with Calabrio ONE®, a unified suiteincluding call recording, quality management, workforce management and voice-of-the-customer analyticsthat records, captures and analyzes customer interactions to provide a single view of the customer, and improve the overall agent and customer experience. Calabrio ONE is easy to use, which empowers management to align activities and resources quickly with the demands of todays multichannel customer. The secure platform has a lower total cost of ownership and can be deployed and expanded on a public, private or hybrid cloud.
Calabrio has been a Star Tribune Top Workplace for 4 years in a row.
Find more at http://calabrio.com/ and follow @Calabrio on Twitter.
Brooksource
  • Atlanta, GA

We are currently seeking a Software Engineer (Python, SQL) for a media conglomerate. Our client is a leader in their industry, and they bring the trends and advertisements from audience science to customers by working on a compressed design cycle and dropping 100+ styles each month.

As a Software Engineer, you would be reporting directly to the Lead Engineer in New York. Youll help define technical standards and drive the architectural and engineering vision in a very dynamic environment. Youll translate business needs into live features and partner directly with business owners who recognize the value of technology. You will have a strong voice in product and ownership over coding, QA, and production support.

Our ideal candidate has experience developing and supporting a wide range of software systems, is self-sufficient, a quick learner, and a strong individual contributor with strong quantitative, analytical, strategic thinking and problem-solving skills.

Required Qualifications

  • Bachelors Degree in Computer Science or a related field
  • Hands-on development in Python and SQL
  • Solid understanding of internet technologies and protocols
  • Experience developing APIs and web services in a Unix environment
  • Analytical thinking and problem-solving.
  • Proficient with back-end database work specifically with MySQL
  • Professional ETL experience
  • Big Data tools (Hadoop, Hive, Big Query, etc.)

Responsibilities

  • Design, develop, test, and maintain software and database systems which support the Ad-Sales platform
  • Design solutions and technical specifications including automated frameworks.
  • Work with business users and the marketing department to ensure understanding of business process and proper implementation in software
  • Ensure software follows best practices from coding, testing and performance perspective
  • Create Management Methods and Systems to access efficiently to information stored in a database.

Nice to Have Qualifications

  • Amazon Elasticsearch
  • JavaScript & Node.JS
  • Data Analysis: SciPy, R, Tableau
Visa
  • Austin, TX
Company Description
Visa operates the world's largest retail electronic payments network and is one of the most recognized global financial services brands. Visa facilitates global commerce through the transfer of value and information among financial institutions, merchants, consumers, businesses and government entities. We offer a range of branded payment product platforms, which our financial institution clients use to develop and offer credit, charge, deferred debit, prepaid and cash access programs to cardholders. Visa's card platforms provide consumers, businesses, merchants and government entities with a secure, convenient and reliable way to pay and be paid in 170 countries and territories.
Job Description
At Visa University, our mission is to turn our learning data into insights and get a deep understanding of how people use our resources to impact the product, strategy and direction of Visa University. In order to help us achieve this we are looking for someone who can build and scale an efficient analytics data suite and also deliver impactful dashboards and visualizations to track strategic initiatives and enable self-service insight delivery. The Staff Software Engineer, Learning & Development Technology is an individual contributor role within Corporate IT in our Austin-based Technology Hub. In this role you will participate in design, development, and technology delivery projects with many leadership opportunities. Additionally, this position provides application administration and end-user support services. There will be significant collaboration with business partners, multiple Visa IT teams and third-party vendors. The portfolio includes SaaS and hosted packaged applications as well as multiple content providers such as Pathgather (Degreed), Cornerstone, Watershed, Pluralsight, Lynda, Safari, and many others.
The ideal candidate will bring energy and enthusiasm to evolve our learning platforms, be able to easily understand business goals/requirements and be forward thinking to identify opportunities that may be effectively resolved with technology solutions. We believe in leading by example, ownership with high standards and being curious and creative. We are looking for an expert in business intelligence, data visualization and analytics to join the Visa University family and help drive a data-first culture across learning.
Responsibilities
  • Engage with product managers, design team and student experience team in Visa University to ensure that the right information is available and accessible to study user behavior, to build and track key metrics, to understand product performance and to fuel the analysis of experiments
  • Build lasting solutions and datasets to surface critical data and performance metrics and optimize products
  • Build and own the analytics layer of our data environment to make data standardized and easily accessible
  • Design, build, maintain and iterate a suite of visual dashboards to track key metrics and enable self-service data discovery
  • Participate in technology project delivery activities such as business requirement collaboration, estimation, conceptual approach, design, development, test case preparation, unit/integration test execution, support process documentation, and status updates
  • Participate in vendor demo and technical deep dive sessions for upcoming projects
  • Collaborate with, and mentor, data engineers to build efficient data pipelines and impactful visualizations
Qualifications
  • Minimum 8 years of experience in a business intelligence, data analysis or data visualization role and a degree in science, computer science, statistics, economics, mathematics, or similar
  • Significant experience in designing analytical data layers and in conducting ETL with very large and complex data sets
  • Expertise with Tableau desktop software (techniques such as LOD calculations, calculated fields, table calculations, and dashboard actions)
  • Expert in data visualization
  • High level of ability in JSON, SQL
  • Experience with Python is a must and experience with data science libraries is a plus (NumPy, Pandas, SciPy, Scikit Learn, NLTK, Deep Learning(Keras)
  • Experience with Machine Learning algorithms (Linear Regression, Multiple Regression, Decision Trees, Random Forest, Logistic Regression, Naive Bayes, SVM, K-means, K-nearest neighbor, Hierarchical Clustering)
  • Experience with HTML and JavaScript
  • Basic SFTP and encryption knowledge
  • Experience with Excel (Vlookups, pivots, macros, etc.)
  • Experience with xAPI is a plus
  • Ability to leverage HR systems such as Workday, Salesforce etc., to execute the above responsibilities
  • Understanding of statistical analysis, quantitative aptitude and the ability to gather and interpret data and information
  • You have a strong business sense and you are able to translate business problems to data driven solutions with minimal oversight
  • You are a communicative person who values building strong relationships with colleagues and stakeholders, enjoys mentoring and teaching others and you have the ability to explain complex topics in simple terms
Additional Information
All your information will be kept confidential according to EEO guidelines.
Job Number: REF15081Q
Brighter Brain
  • Atlanta, GA

Brighter Brain is seeking a skilled professional to serve as an internal resource for our consulting firm in the field of Data Science Development. Brighter Brain provides Fortune 500 clients throughout the United States with IT consultants in a wide-ranging technical sphere.

In order to fully maintain our incoming nationwide and international hires, we will be hiring a Senior Data Science SME (ML) with practical experience to relocate to Atlanta and coach/mentor our incoming classes of consultants. If you have a strong passion for the Data Science platform and are looking to join a seasoned team of IT professionals, this could be an advantageous next step.

Brighter Brain is an IT Management & Consultingfirm providing a unique take on IT Consulting. We currently offer expertise to US clients in the field of Mobile Development (iOS and Android), Hadoop, Microsoft SharePoint, and Exchange/ Office 365. We are currently seeking a highly skilled professional to serve as an internal resource for our company in the field of Data Science with expertise in Machine Learning (ML)

The ideal candidatewill be responsible for establishing our Data Science practice. The responsibilities include creation of a comprehensive training program, training, mentoring, and supporting ideal candidates, as they progress towards building their career in Data Science Consulting. This position is based out of our head office in Atlanta, GA.

If you have a strong passion for Data Science and are looking to join a seasoned team of IT professionals, this could be an advantageous next step.

The Senior Data Science SMEwill take on the following responsibilities:

-       Design, develop and maintain Data Science training material, focused around: ML Knowledge of DL, NN & NLP is a plus.

-       Interview potential candidates to ensure that they will be successful in the Data Science domain and training.

-       Train, guide and mentor junior to mid-level Data Science developers.

-       Prepare mock interviews to enhance the learning process provided by the company.

-       Prepare and support consultants for interviews for specific assignments involving development and implementation of Data Science.

-       Act as a primary resource for individuals working on a variety of projects throughout the US.

-       Interact with our Executive and Sales team to ensure that projects and employees are appropriately matched.

The ideal candidatewill not only possess a solid knowledge of the realm, but must also have the fluency in the following areas:

-       Hands-on expertise in using Data Science and building machine learning models and Deep learning models

-       Statistics and data modeling experience

-       Strong understanding of data sciences

-       Understanding of Big Data

-       Understanding of AWS and/or Azure

-       Understand the difference between Tensorflow, MxNet, etc

Skills Include:

  • Masters Degree in the Computer Science or mathematics fields

    10+ Years of professional experience in the IT Industry, in the AI realm

  • Strong understanding of MongoDB, Scala, Node.js, AWS, & Cognitive applications
  • Excellent knowledge in Python, Scala, JavaScript and its libraries, Node.js, Python, R and MatLab C/C++ Lua or any proficient AI language of choice
  • NoSQL databases, bot framework, data streaming and integrating unstructured Data Rules engines e.g. drools, ESBs e.g. MuleSoft Computer
  • Vision,Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence, Neural Networks
  • Deep Learning frameworks like Tensorflow, Torch, Caffee, Theano, CNTK, cikit-
  • learn, numpy, scipy
  • Working knowledge of ML such as: Naïve Bayes Classification, Ordinary Least
  • Square
  • Regression, Logic Regression, Supportive Vector Machines, Ensemble Methods,
  • Clustering
  • Algorithms, Principal Component Analysis, Singular Value Decomposition, and
  • Independent Component Analysis.  
  • Natural Language Processing (NLP) concepts such as topic modeling, intents,
  • entities, and NLP frameworks such as SpaCy, NLTK, MeTA, gensim or other
  • toolkits for Natural Language Understanding (NLU)
  • Experience data profiling, data cleansing, data wrangling/mungline, ETL
  • Familiarity with Spark MLlib, Mahout Google, Bing, and IBM Watson APIs
  • Hands on experience as needed with training a variety of consultants
  • Analytical and problem-solving skills
  • Knowledge of IOT space
  • Understand Academic Data Science vs Corporate Data Science
  • Knowledge of the Consulting/Sales structure

Additional details about the position:

-       Able to relocate to Atlanta, Ga (Relocation package available)

-       Work schedule of 9 AM to 6 PM EST

Questions: Send your resume to Ansel Butler at Brighter Brain; make sure that there is a valid phone number and Skype ID either on the resume, or in the body of the email.

Ansel Essic Butler

EMAIL: ANSEL.BUTLER@BRIGHTERBRAIN.COM

404 791 5128

SKYPE: ANSEL.BUTLER@OUTLOOK.COM

Senior Corporate Recruiter

Brighter Brain LLC.

1785 The Exchange, Suite 200

Atlanta, GA. 30339

Man AHL
  • London, UK

The Role


As a Quant Platform Developer at AHL you will be building the tools, frameworks, libraries and applications which power our Quantitative Research and Systematic Trading. This includes responsibility for the continued success of “Raptor”, our in-house Quant Platform, next generation Data Engineering, and evolution of our production Trading System as we continually expand the markets and types of assets we trade, and the styles in which we trade them. Your challenges will be varied and might involve building new high performance data acquisition and processing pipelines, cluster-computing solutions, numerical algorithms, position management systems, visualisation and reporting tools, operational user interfaces, continuous build systems and other developer productivity tools.


The Team


Quant Platform Developers at AHL are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.



Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: “Quant Platform Developers” otherwise known as our “Core Techs”, and “Quant Developers” which we often refer to as “Sector Techs”. We use the term “Sector Tech” because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.


Our Technology


Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle.



We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and HipChat for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries.


Working Here


AHL has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader technology community.



  • We host and sponsor London’s PyData and Machine Learning Meetups

  • We open-source some of our technology. See https://github.com/manahl

  • We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @manahltech



We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work.



  • We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches

  • We have annual away days and off-sites for the whole team

  • We have a canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening

  • As well as PC’s and Macs, in our office you’ll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano.



We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.


Technology and Business Skills


At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists.



Essential



  • Exceptional technology skills; recognised by your peers as an expert in your domain

  • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches

  • Expert knowledge in one or more programming languages, preferably Python, Java and/or C/C++

  • Proficient on Linux platforms with knowledge of various scripting languages

  • Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB

  • Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React

  • Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns.



Advantageous



  • An excellent understanding of financial markets and instruments

  • Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank

  • Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing

  • A knowledge of modern practices for data engineering and stream processing

  • An understanding of financial market data collection and processing

  • Experience of web based development and visualisation technology for portraying large and complex data sets and relationships

  • Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms.


Personal Attributes



  • Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university

  • Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others

  • Demonstrable passion for technology e.g. personal projects, open-source involvement

  • Intellectually robust with a keenly analytic approach to problem solving

  • Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities

  • Focused on delivering value to the business with relentless efforts to improve process

  • Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike

  • Confident communicator; able to argue a point concisely and deal positively with conflicting views.

Accenture
  • San Diego, CA
Organization: Accenture Applied Intelligence
Position: Artificial Intelligence Engineer - Consultant
The digital revolution is changing everything. Its everywhere transforming how we work and play. Accenture Digitals 36,000 professionals are driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At the forefront of digital, youll create it, own it and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Join us and become an integral part of our experienced digital team with the credibility, expertise and insight clients depend on.
Accenture Applied Intelligence, part of Accenture Digital, helps clients to use analytics and artificial intelligence to drive actionable insights, at scale. We apply sophisticated algorithms, data engineering and visualization to extract business insights and help clients turn those insights into actions that drive tangible outcomesto improve their performance and disrupt their markets. Accenture Applied Intelligence is a leader in big data analytics, with deep industry and technical experience. We provide services and solutions that include Analytics Advisory, Data Science, Data Engineering and Analytics-as-a-Service.
Role Description
As an AI engineer, you will facilitate the transfer of advanced AI technologies from the research labs to the domain testbeds and thus the real world. You will participate in the full research to deployment pipeline. You will help conceptualize and develop research experiments, and then implement the systems to execution these experiments. You will lead or work with a team and interact closely with deep experience machine learning engineering and research and the industry partners. You will attend reading groups and seminars, master research techniques and engineering practices, and design research tools and experimental testbeds. You will apply state-of-the-art AI algorithms, explore new solutions, and build working prototypes. You will also learn to deploy the systems and solutions at scale.
Responsibilities
    • Use Deep Learning and Machine Learning to create scalable solutions for business problems.
    • Deliver Deep Learning/Machine Learning projects from beginning to end, including business understanding, data aggregation, data exploration, model building, validation and deployment.
    • Define Architecture Reference Assets - Apply Accenture methodology, Accenture reusable assets, and previous work experience to delivery consistently high quality work. Deliver written or oral status reports regularly. Stay educated on new and emerging market offerings that may be of interest to our clients. Adapt to existing methods and procedures to create possible alternative solutions to moderately complex problems
    • Work hands on to demonstrate and prototype integrations in customer environments. Primary upward interaction is with direct supervisor. May interact with peers and/or management levels at a client and/or within Accenture.
    • Solution and Proposal Alignment - Through a formal sales process, work with the Sales team to identify and qualify opportunities. Conduct full technical discovery, identifying pain points, business and technical requirements, as is and to be scenarios.
    • Understand the strategic direction set by senior management as it relates to team goals. Use considerable judgment to define solution and seeks guidance on complex problems.
Qualifications
    • Bachelors degree in AI, Computer Science, Engineering, Statistics, Physics.
    • Minimum of 1 year of experience in production deployed solutions using artificial intelligence or machine learning techniques.
    • Minimum of 1 years previous consulting or client service delivery experience
    • Minimum of 2 years of experience with system integration architectures, private and public cloud architectures, pros/cons, transformation experience
    • Minimum of 1 year of full lifecycle deployment experience
Preferred Skills
    • Masters or PhD in Analytics, Statistic or other quantitative disciplines
    • Deep learning architectures: convolutional, recurrent, autoencoders, GANs, ResNets
    • Experience in Cognitive tools like Microsoft Bot Framework & Cognitive Services, IBM Watson, Amazon AI services
    • Deep understanding of Data structures and Algorithms
    • Deep experience in Python, C# (.NET), Scala
    • Deep knowledge with MxNet, CNTK, R, H20, TensorFlow, PyTorch
    • Highly desirable to have experience in: cuDNN, NumPY, SciPy
Professional Skill Requirements
    • Recent success in contributing to a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Excellent communication (written and oral) and interpersonal skills
    • Demonstrated leadership in professional setting; either military or civilian
    • Demonstrated teamwork and collaboration in a professional setting; either military or civilian
    • Ability to travel extensively
OUR COMMITMENT TO YOU
    • Your entrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement.
    • You will make a difference for some pretty impressive clients. Accenture serves 94 of the Fortune Global 100 and more than 80 percent of the Fortune Global 500.
    • You will be an integral part of a market-leading analytics organization, including the largest and most diversified group of digital, technology, business process and outsourcing professionals in the world. You can leverage our global team to support analytics innovation workshops, rapid capability development, enablement and managed services.
    • You will have access to Accentures deep industry and functional expertise. We operate across more than 40 industries and have hundreds of offerings addressing key business and technology issues. Through our global network, we bring unparalleled experience and comprehensive capabilities across industries and business functions, and extensive research on the worlds most successful companies. You will also be able to tap into the continuous innovation of our Accenture Technology Labs and Innovation Centers, as well as top universities such as MIT through our academic alliance program.
    • You will have access to distinctive analytics assets that we use to accelerate delivering value to our clients including more than 550 analytics assets underpinned by a strong information management and BI technology foundation. Accenture has earned more than 475 patents and patents pending globally for software assets, data- and analytic-related methodologies and content.
    • As the worlds largest independent technology services provider, we are agnostic about technology but have very clear viewpoints about what is most appropriate for a clients particular challenge. You will have access to our alliances with market-leading technology providers and collaborative relationships with emerging players in the analytics and big data spacethe widest ecosystem in the industry. These alliances bring together Accentures extensive analytics capabilities and alliance providers technology, experience and innovation to power analytics-based solutions.
    • You will have access to the best talent. Accenture has a team of more than 36,000 digital professionals including technical architects, big data engineers, data scientists and business analysts, as well as user digital strategists and experience designers.
    • Along with a competitive salary, Accenture offers a comprehensive package that includes generous paid time off, 401K match and an employee healthcare plan. Learn more about our extensive rewards and benefits here: Benefits .
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Anaconda, Inc.
  • Austin, TX

Role: Sr. Product Manager

Reports to: Director, Product Management

Department: Product

Location: Austin, TX

Job Type: Full Time, Exempt      

Help Us Shape the Future of Data

With over 11 million users, Anaconda is the worlds most popular Python data science platform. Anaconda, Inc. continues to lead open source projects like Anaconda, NumPy, and SciPy that form the foundation of modern data science. Anacondas flagship product, Anaconda Enterprise, allows organizations to secure, govern, scale, and extend Anaconda to deliver actionable insights that drive businesses and industries forward.


Anaconda is seeking people who want to play a role in shaping the future of enterprise AI, machine learning, and data science. We strive to create a culture that is both relaxed and focused, and we stress empathy and collaboration with our customers, open source users, and each other. Our primary employee perk is that we are actively working on projects that have a global impact.

Summary

Anaconda is seeking a talented Sr. Product Manager for the Anaconda Enterprise. This is an excellent opportunity to play a key role in enabling any company to run a state of the art Machine Learning discipline, while working with passionate, talented people.


What Youll Do:

    • Understand and clearly define user problems. Work with engineering and design to deliver great solutions in a collaborative fashion.
    • Develop and refine user personas.
    • Use data-driven methodology to prioritize roadmap themes.
    • Present product features and technical direction to internal stakeholders.
    • Ensure that sales, customer success, and support are in the know regarding the direction of the product.
    • Partner with Product Marketing to craft messaging, positioning, and collateral.
    • Tap into the pulse of the open source, data science, and developer communities.
    • Be the interface between disparate stakeholders and roles: Anaconda engineers; community contributors; end users who are data scientists, software developers, sysadmins, and devops engineers.


What You Need:

    • Minimum of 5 years of Product Management experience.
    • Working knowledge of Kubernetes.
    • Superb public speaking and presentation skills.
    • A passion for data science.
    • Ability to travel up to 20% of the time.


What Will Make You Stand Out:

    • You have previous experience as a software developer or devops engineer.
    • You have specific experience working with open source data science technologies, like Hadoop, Spark, or Tensorflow.
    • You have been part of a team that has deployed complex models into production at an enterprise company.


Why Youll Like Working Here:

    • Dynamic company that rewards high-performers
    • Be on the cutting edge of new technologies and services
    • Collaborative team environment that values multiple perspectives and fresh thinking
    • Employees First culture
    • Casual dress code
    • Flexible working hours
    • Medical, Dental, Vision, HSA, Life, and 401K
    • Pre IPO Stock options
    • Unlimited Vacation!
Accenture
  • Dallas, TX
Organization: Accenture Applied Intelligence
Position: Artificial Intelligence Engineer - Consultant
The digital revolution is changing everything. Its everywhere transforming how we work and play. Accenture Digitals 36,000 professionals are driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At the forefront of digital, youll create it, own it and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Join us and become an integral part of our experienced digital team with the credibility, expertise and insight clients depend on.
Accenture Applied Intelligence, part of Accenture Digital, helps clients to use analytics and artificial intelligence to drive actionable insights, at scale. We apply sophisticated algorithms, data engineering and visualization to extract business insights and help clients turn those insights into actions that drive tangible outcomesto improve their performance and disrupt their markets. Accenture Applied Intelligence is a leader in big data analytics, with deep industry and technical experience. We provide services and solutions that include Analytics Advisory, Data Science, Data Engineering and Analytics-as-a-Service.
Role Description
As an AI engineer, you will facilitate the transfer of advanced AI technologies from the research labs to the domain testbeds and thus the real world. You will participate in the full research to deployment pipeline. You will help conceptualize and develop research experiments, and then implement the systems to execution these experiments. You will lead or work with a team and interact closely with deep experience machine learning engineering and research and the industry partners. You will attend reading groups and seminars, master research techniques and engineering practices, and design research tools and experimental testbeds. You will apply state-of-the-art AI algorithms, explore new solutions, and build working prototypes. You will also learn to deploy the systems and solutions at scale.
Responsibilities
    • Use Deep Learning and Machine Learning to create scalable solutions for business problems.
    • Deliver Deep Learning/Machine Learning projects from beginning to end, including business understanding, data aggregation, data exploration, model building, validation and deployment.
    • Define Architecture Reference Assets - Apply Accenture methodology, Accenture reusable assets, and previous work experience to delivery consistently high quality work. Deliver written or oral status reports regularly. Stay educated on new and emerging market offerings that may be of interest to our clients. Adapt to existing methods and procedures to create possible alternative solutions to moderately complex problems
    • Work hands on to demonstrate and prototype integrations in customer environments. Primary upward interaction is with direct supervisor. May interact with peers and/or management levels at a client and/or within Accenture.
    • Solution and Proposal Alignment - Through a formal sales process, work with the Sales team to identify and qualify opportunities. Conduct full technical discovery, identifying pain points, business and technical requirements, as is and to be scenarios.
    • Understand the strategic direction set by senior management as it relates to team goals. Use considerable judgment to define solution and seeks guidance on complex problems.
Qualifications
    • Bachelors degree in AI, Computer Science, Engineering, Statistics, Physics.
    • Minimum of 1 year of experience in production deployed solutions using artificial intelligence or machine learning techniques.
    • Minimum of 1 years previous consulting or client service delivery experience
    • Minimum of 2 years of experience with system integration architectures, private and public cloud architectures, pros/cons, transformation experience
    • Minimum of 1 year of full lifecycle deployment experience
Preferred Skills
    • Masters or PhD in Analytics, Statistic or other quantitative disciplines
    • Deep learning architectures: convolutional, recurrent, autoencoders, GANs, ResNets
    • Experience in Cognitive tools like Microsoft Bot Framework & Cognitive Services, IBM Watson, Amazon AI services
    • Deep understanding of Data structures and Algorithms
    • Deep experience in Python, C# (.NET), Scala
    • Deep knowledge with MxNet, CNTK, R, H20, TensorFlow, PyTorch
    • Highly desirable to have experience in: cuDNN, NumPY, SciPy
Professional Skill Requirements
    • Recent success in contributing to a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Excellent communication (written and oral) and interpersonal skills
    • Demonstrated leadership in professional setting; either military or civilian
    • Demonstrated teamwork and collaboration in a professional setting; either military or civilian
    • Ability to travel extensively
OUR COMMITMENT TO YOU
    • Your entrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement.
    • You will make a difference for some pretty impressive clients. Accenture serves 94 of the Fortune Global 100 and more than 80 percent of the Fortune Global 500.
    • You will be an integral part of a market-leading analytics organization, including the largest and most diversified group of digital, technology, business process and outsourcing professionals in the world. You can leverage our global team to support analytics innovation workshops, rapid capability development, enablement and managed services.
    • You will have access to Accentures deep industry and functional expertise. We operate across more than 40 industries and have hundreds of offerings addressing key business and technology issues. Through our global network, we bring unparalleled experience and comprehensive capabilities across industries and business functions, and extensive research on the worlds most successful companies. You will also be able to tap into the continuous innovation of our Accenture Technology Labs and Innovation Centers, as well as top universities such as MIT through our academic alliance program.
    • You will have access to distinctive analytics assets that we use to accelerate delivering value to our clients including more than 550 analytics assets underpinned by a strong information management and BI technology foundation. Accenture has earned more than 475 patents and patents pending globally for software assets, data- and analytic-related methodologies and content.
    • As the worlds largest independent technology services provider, we are agnostic about technology but have very clear viewpoints about what is most appropriate for a clients particular challenge. You will have access to our alliances with market-leading technology providers and collaborative relationships with emerging players in the analytics and big data spacethe widest ecosystem in the industry. These alliances bring together Accentures extensive analytics capabilities and alliance providers technology, experience and innovation to power analytics-based solutions.
    • You will have access to the best talent. Accenture has a team of more than 36,000 digital professionals including technical architects, big data engineers, data scientists and business analysts, as well as user digital strategists and experience designers.
    • Along with a competitive salary, Accenture offers a comprehensive package that includes generous paid time off, 401K match and an employee healthcare plan. Learn more about our extensive rewards and benefits here: Benefits .
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Houston, TX
Organization: Accenture Applied Intelligence
Position: Artificial Intelligence Engineer - Consultant
The digital revolution is changing everything. Its everywhere transforming how we work and play. Accenture Digitals 36,000 professionals are driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At the forefront of digital, youll create it, own it and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Join us and become an integral part of our experienced digital team with the credibility, expertise and insight clients depend on.
Accenture Applied Intelligence, part of Accenture Digital, helps clients to use analytics and artificial intelligence to drive actionable insights, at scale. We apply sophisticated algorithms, data engineering and visualization to extract business insights and help clients turn those insights into actions that drive tangible outcomesto improve their performance and disrupt their markets. Accenture Applied Intelligence is a leader in big data analytics, with deep industry and technical experience. We provide services and solutions that include Analytics Advisory, Data Science, Data Engineering and Analytics-as-a-Service.
Role Description
As an AI engineer, you will facilitate the transfer of advanced AI technologies from the research labs to the domain testbeds and thus the real world. You will participate in the full research to deployment pipeline. You will help conceptualize and develop research experiments, and then implement the systems to execution these experiments. You will lead or work with a team and interact closely with deep experience machine learning engineering and research and the industry partners. You will attend reading groups and seminars, master research techniques and engineering practices, and design research tools and experimental testbeds. You will apply state-of-the-art AI algorithms, explore new solutions, and build working prototypes. You will also learn to deploy the systems and solutions at scale.
Responsibilities
    • Use Deep Learning and Machine Learning to create scalable solutions for business problems.
    • Deliver Deep Learning/Machine Learning projects from beginning to end, including business understanding, data aggregation, data exploration, model building, validation and deployment.
    • Define Architecture Reference Assets - Apply Accenture methodology, Accenture reusable assets, and previous work experience to delivery consistently high quality work. Deliver written or oral status reports regularly. Stay educated on new and emerging market offerings that may be of interest to our clients. Adapt to existing methods and procedures to create possible alternative solutions to moderately complex problems
    • Work hands on to demonstrate and prototype integrations in customer environments. Primary upward interaction is with direct supervisor. May interact with peers and/or management levels at a client and/or within Accenture.
    • Solution and Proposal Alignment - Through a formal sales process, work with the Sales team to identify and qualify opportunities. Conduct full technical discovery, identifying pain points, business and technical requirements, as is and to be scenarios.
    • Understand the strategic direction set by senior management as it relates to team goals. Use considerable judgment to define solution and seeks guidance on complex problems.
Qualifications
    • Bachelors degree in AI, Computer Science, Engineering, Statistics, Physics.
    • Minimum of 1 year of experience in production deployed solutions using artificial intelligence or machine learning techniques.
    • Minimum of 1 years previous consulting or client service delivery experience
    • Minimum of 2 years of experience with system integration architectures, private and public cloud architectures, pros/cons, transformation experience
    • Minimum of 1 year of full lifecycle deployment experience
Preferred Skills
    • Masters or PhD in Analytics, Statistic or other quantitative disciplines
    • Deep learning architectures: convolutional, recurrent, autoencoders, GANs, ResNets
    • Experience in Cognitive tools like Microsoft Bot Framework & Cognitive Services, IBM Watson, Amazon AI services
    • Deep understanding of Data structures and Algorithms
    • Deep experience in Python, C# (.NET), Scala
    • Deep knowledge with MxNet, CNTK, R, H20, TensorFlow, PyTorch
    • Highly desirable to have experience in: cuDNN, NumPY, SciPy
Professional Skill Requirements
    • Recent success in contributing to a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Excellent communication (written and oral) and interpersonal skills
    • Demonstrated leadership in professional setting; either military or civilian
    • Demonstrated teamwork and collaboration in a professional setting; either military or civilian
    • Ability to travel extensively
OUR COMMITMENT TO YOU
    • Your entrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement.
    • You will make a difference for some pretty impressive clients. Accenture serves 94 of the Fortune Global 100 and more than 80 percent of the Fortune Global 500.
    • You will be an integral part of a market-leading analytics organization, including the largest and most diversified group of digital, technology, business process and outsourcing professionals in the world. You can leverage our global team to support analytics innovation workshops, rapid capability development, enablement and managed services.
    • You will have access to Accentures deep industry and functional expertise. We operate across more than 40 industries and have hundreds of offerings addressing key business and technology issues. Through our global network, we bring unparalleled experience and comprehensive capabilities across industries and business functions, and extensive research on the worlds most successful companies. You will also be able to tap into the continuous innovation of our Accenture Technology Labs and Innovation Centers, as well as top universities such as MIT through our academic alliance program.
    • You will have access to distinctive analytics assets that we use to accelerate delivering value to our clients including more than 550 analytics assets underpinned by a strong information management and BI technology foundation. Accenture has earned more than 475 patents and patents pending globally for software assets, data- and analytic-related methodologies and content.
    • As the worlds largest independent technology services provider, we are agnostic about technology but have very clear viewpoints about what is most appropriate for a clients particular challenge. You will have access to our alliances with market-leading technology providers and collaborative relationships with emerging players in the analytics and big data spacethe widest ecosystem in the industry. These alliances bring together Accentures extensive analytics capabilities and alliance providers technology, experience and innovation to power analytics-based solutions.
    • You will have access to the best talent. Accenture has a team of more than 36,000 digital professionals including technical architects, big data engineers, data scientists and business analysts, as well as user digital strategists and experience designers.
    • Along with a competitive salary, Accenture offers a comprehensive package that includes generous paid time off, 401K match and an employee healthcare plan. Learn more about our extensive rewards and benefits here: Benefits .
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
GeoPhy
  • New York, NY

We seek a Machine Learning Engineer to support development of a suite of valuation models and data products. This person would work alongside software engineers building the technology to manage our data, and the data scientists conducting statistical analysis and developing models. As a Machine Learning engineer, you would complement these efforts by demonstrating how ML can enhance approaches to data discovery, feature engineering, and predictive modelling.


What you'll be responsible for



  • Develop proof-of-concept ML models to solve problems for a variety of data and domains, which might include but not limited to:


    • -text extraction and classification from millions of pages of technical reports;

    • -estimating building density from satellite images; or,

    • -training ML models on semantically related public records.




  • Explain the effectiveness and assumptions of your approach and guide collaborative research and methodology development with appropriate technical rigor.

  • Build predictive models in production at scale.

  • Contribute to decisions about our technology stack, particularly as it relates to end-to-end ML model and data flow and automation.

  • Stay current with latest ML algorithms and methods and share knowledge with colleagues in data science and engineering and externally as appropriate.


What we're looking for



  • Critical professional skills include: a curiosity to discover new approaches to problem-solving, a drive to initiate ideas and collaborate with colleagues to see them through, and an ability to communicate technical material clearly.

  • Skills in Python or R (+Scala a bonus), including ML libraries (e.g. SKLearn, NumPy, SciPy), SQL, parallelization and tools for large scale computing (e.g. Spark, Hadoop), matrix algebra, and vectorization

  • Experience with at least one of the DL frameworks (e.g. PyTorch, Caffe, TensorFlow, Theano, Keras) and a perspective on what distinguishes them

  • Experience with supervised and unsupervised learning algorithms, including cluster analysis (e.g. k-means, density-based), regression and classification with shallow algorithms (e.g. decision trees, XGBoost, and various ensemble methods) and with DL algorithms (e.g. RNN w/ LTSM, CNN)

  • Experience with advanced methods of ML model hyper-parameter tuning (e.g. Bayesian optimization)

  • Deep understanding of statistics and Bayesian inference, linear algebra (e.g. decomposition, image registration), vector calculus (e.g. gradients), time series analysis (e.g. Fourier Transform, ARIMA, Dynamic Time-Warping)

  • Proven track record of building production models (batch processing at minimum, online ML a bonus)

  • Experience in at least one of the following data domains: highly disparate public records, satellite images, text in various states of structure

  • Experience with remote computing and data management (e.g. AWS, GCP suite of tools)


Bonus points for



  • Being a technical lead on a successful ML-based product

  • Doing applied research (at graduate school level or equivalent) with: 1) Geospatial analysis, 2) Image processing (e.g. denoising, image registration), 3) NLP, or 4) ML with semantic databases

  • Experience with streaming models or online ML

  • Authored technical publications or presented work in the field

  • Domain expertise in real estate or the built environment


What we give you



  • You will have the opportunity to accelerate our rapidly growing organisation.

  • We're a lean team, so your impact will be felt immediately.

  • Agile working environment with flexible working hours and location, career advancement, and competitive compensation package

  • GeoPhy is a family friendly company. We arrange social activities to help our employees and families become familiar with each other and our culture

  • Diverse, unique colleagues from every corner of the world

JPMorgan Chase & Co.
  • Houston, TX
Our Global Technology Infrastructure group is a team rewarded with innovators who love technology as much as you do. Together, youll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. Youll work in a stable, resilient and secure operating environment where youand the products you deliverwill thrive.
As a senior leader working within the Business Intelligence Continual Service Improvement (BI-CSI) team your role will require you to adapt between individual contributor and that of an active, contributing team member throughout the full CSI lifecycle supporting concurrent priorities. Working alongside senior analytical staff and subject matter experts (SMEs) within the firm, you will confidently use analytical approaches, statistical models and data visualization tools to identify data defined actionable insight to improve IT operational performance, enable effective business decisions and ultimately create efficiencies for JPMorgan Chase (JPMC).
Qualifications
This role requires a wide variety of strengths and capabilities, including:
    • 5+ years of hands-on experience developing analytical solutions in a fast-paced environment (preferably financial services)
    • Experience in developing scalable code to extract, manipulate, report and analyze data from both structured and unstructured data sources
    • Proficient in conducting advanced statistical analyses (e.g. regression, clustering, time series) and working with large data sets.
    • Strong data visualization capabilities.
    • Strong interpersonal skills, including verbal, written, and listening skills.
    • Experience establishing a proposal or business case in order to build and present a persuasive argument in favor of an observed need for improvement.
    • Excellent organizational, planning, problem solving and decision making skills including experience with project management methodologies required.
    • Demonstrated ability to work independently and as a member of a team.
    • Able to multi-task with ease including a demonstrated track record of delivering multiple concurrent complex technical projects on time.
    • Ability to build relationships and leverage subject matter expertise to driving conversations and/or influence decisions/direction with Business and Technology areas.
    • Proven understanding of core IT Service Management processes and its underlying data a plus.
    • Professional certification(s) in a defined best practice methodology (ITIL, HDI, Six Sigma) preferred.
Specific Technical Skills
    • Bachelors Degree (or higher) in a quantitative discipline (e.g. Computer Science, Engineering, Applied Statistics, Mathematics or similar)
    • Strong experience coding and debugging in one or more of the following languages: Python, Java, R and familiarity with related statistical packages (e.g. Scikit-Learn, SciPy, Pandas, Numpy)
    • Familiarity with databases and basic data table operations (SQL, Hive, etc.)
    • Experience with big-data technologies such as Hadoop, Spark etc. a plus
    • Expertise in at least one infrastructure technology, e.g., Server (e.g., Unix, Wintel), Storage (e.g., NAS, SAN), Network (e.g., firewalls, routers), Database (e.g., Oracle, DB2), Mainframe, Middleware. Knowledge of 2 or more technologies is a plus.
    • Proficiency in reporting / dashboard tools i.e., Cognos, Tableau, Qlikview.
    • Proficiency in ServiceNow data model; HPSM and ITSM is a plus.
    • Familiarity with project methodologies such as Agile and Waterfall.
    • Advanced knowledge of Excel (pivot tables, charting, macros, calculations), Microsoft PowerPoint, Microsoft Word, IE (and other browsers: E.g. Firefox).
When you work at JPMorgan Chase & Co., youre not just working at a global financial institution. Youre an integral part of one of the worlds biggest tech companies. In 14 technology hubs worldwide, our team of 40,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $9.5B+ annual investment in technology enables us to hire people to create innovative solutions that will not only transform the financial services industry, but also change the world.
At JPMorgan Chase & Co. we value the unique skills of every employee, and were building a technology organization that thrives on diversity. We encourage professional growth and career development, and offer competitive benefits and compensation. If youre looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you.
Esri
  • New Delhi, India

OVERVIEW



Are you passionate about applying AI and machine learning to solve some of the world’s biggest challenges? So are we! Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. 
 
Join our team of exceptional data scientists and software engineers to deliver a spatial data science platform, develop industry-leading AI models for satellite imagery, and build world-class Geo AI solutions.
 
In this role, you will apply geospatial analysis, data science, and machine learning to geospatial problems. You will author Jupyter Notebooks that showcase ArcGIS AI capabilities and advocate patterns to solve such problems. You will gain valuable experience on how to test and develop deep learning models, APIs, and Geo AI solutions.






RESPONSIBILITIES




  • Author and maintain Jupyter Notebook-based geospatial data science samples using ArcGIS and machine learning/deep learning libraries such as Tensorflow and PyTorch

  • Execute API tests using the continuous integration pipeline and test automation framework

  • Enhance test automation framework to test and compare AI models using appropriate evaluation metrics

  • Author, maintain, and update unit tests and test assets and help maintain high QA standards

  • Certify AI models and APIs ahead of product release cycles



REQUIREMENTS





  • 1+ years of experience with Python programming 

  • Coursework and knowledge of machine learning and deep learning

  • Knowledge of GIS tools, libraries, and capabilities

  • Experience with Python machine learning and deep learning libraries such as Scikit-learn, Pandas, PyTorch/FastAI, or TensorFlow/Keras

  • Experience with continuous integration and QA testing

  • Strong verbal and written communication skills

  • Bachelor's or master's in sciences, engineering, GIS, or related disciplines 




RECOMMENDED QUALIFICATIONS



  • Familiarity with ArcGIS suite of products and concepts of GIS, including working with ArcGIS API for Python

  • Experience with technical writing and teaching

  • Knowledge of various scientific libraries such as SciPy, R, Numpy, Matlab, etc.

Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
  • Sankt Augustin, Germany

FRAUNHOFER-INSTITUT FÜR INTELLIGENTE ANALYSE- UND INFORMATIONSSYSTEME IAIS






MACHINE LEARNING THAT WORKS: WHEN IT COMES TO MACHINE LEARNING YOU ARE ONE OF THE BEST? THEN COME WORK WITH US.





Machine Learning Expert (Postdoc)






Fraunhofer is the biggest organization for applied science in Europe. In 2018, in the research category of the Trendence Graduate Barometer, we were named »TOP 1 Employer Germany«.


In the Fraunhofer IAIS, more than 260 employees develop customized solutions for the integration and analysis of data for our customers in the industry. The emphasis lays on competencies in the areas of big data, multimedia content analytics, information integration as well as enterprise modelling and analysis.


The department Knowledge Discovery offers a large team of committed scientists that work on solutions and approaches for our partners in research and industry. There is a large variety reaching from fundamental research in research projects to applying the current findings in different areas such as autonomous driving, industrial analytics, health care, process optimization and big data applications.


Our current research focuses on hybrid knowledge and data-based machine learning, trustworthy AI and their application in innovative cognitive systems. You can significantly contribute with your knowledge in machine learning and artificial intelligence, develop and publish new methods and use your expertise in projects with our customers from the industry.







Your tasks include



  • Conception, development and implementation of new methods of machine learning and their application in projects

  • Support in defining and developing the research strategy of the department and coordination with our partners at universities

  • Supervision of academic papers

  • Support in the acquisition of scientific third party funding projects

  • Acquisition of industry projects and counselling of our industry partners in terms of machine learning

  • Conducting t rainings





What we expect from you



  • In addition to your scientific university degree (Master / Diplom), you have successfully completed your PhD in Computer Science or a similar subject and you are familiar with mathematical methods of data a nalysis.

  • You have academic and practical experience in machine learning e.g. in deep learning, Bayesian methods, logic-based machine learning or k ernel methods.

  • You have experience in one of the following areas: textmining / NLP, trustworthy AI, anomaly detection, time series, interactive machine learning, hybrid knowledge-based machine learning.

  • Good programming skills in Python as well as in NumPy/SciPy are essential.

  • Ideally you are familiar with TensorFlow or Torch.

  • You have routine in applying agile methods of software development such as Scrum, TDD & Continuous Integration and you are acquainted with code management, for example with Git.

  • You have proven your ability to work scientifically: You have been published in renowned journals and you have spoken at conferences.

  • You are able to speak and write English fluently; your German is good (B2) or you are, with our support, willing to achieve good German skills quickly.

  • You show a high degree of initiative, responsibility and willingness to perform.





What you can expect from us



  • We offer a pleasant working atmosphere and a unique working environment that combines current research with economic relevance.

  • You set the foundations for innovative cognitive technologies by designing and implementing intelligent applications and thereby actively shape the future.

  • You research new methods, publish your findings and exchange knowledge in a scientific environment at conferences and workshops.

  • You have the possibility to take over project lead and leadership tasks.



Appointment, remuneration and social security benefits are based on the public-sector collective wage agreement (TVöD). Additionally, Fraunhofer may grant performance-based variable remuneration components.
The position is initially limited to 2 years (with the possibility of extention).
This vacancy is also available on a part-time basis.


In case of identical qualifications, preference will be given to severely disabled candidates. The Fraunhofer-Gesellschaft is committed to providing equal career opportunities for men and women.


Fraunhofer is Europe’s largest application-oriented research organization. Our research efforts are geared entirely to people’s needs: health, security, communication, energy and the environment. As a result, the work undertaken by our researchers and developers has a significant impact on people’s lives. We are creative. We shape technology. We design products. We improve methods and techniques. We open up new vistas.





We are looking forward to your application in our online portal:
https://recruiting.fraunhofer.de/Vacancies/42922/Description/1


For further information please call:
Dr. Stefan Rüping
Telefon: +49 2241 14-3512


www.iais.fraunhofer.de