This week - Remote Keras jobs
  • phData
    Preferred timezone: UTC -6

    Are you inspired by innovation, hard work and a passion for data?    

    If so, this may be the ideal opportunity to leverage your Software Engineering, Data Engineering or Data Analytics experience to design, develop and innovate big data solutions for a diverse set of clients.  

    At phData, our proven success has skyrocketed the demand for our services, resulting in quality growth and an expanded presence at our company headquarters conveniently located in Downtown Minneapolis (Fueled Collective).

    As the world’s largest pure-play Big Data, Machine Learning and Data Science services firm, our team includes Apache committers, Machine Learning experts and the most knowledgeable Scala development team in the industry. phData has earned the trust of customers by demonstrating our mastery of Big Data and Machine Learning services and our commitment to excellence.

    In addition to a phenomenal growth and learning opportunity, we offer competitive compensation and excellent perks including base salary, annual bonus, extensive training, paid Cloudera certifications - in addition to generous PTO and employee equity.

    As a Machine Learning Engineer, your responsibilities include:

    • Convert proof of concepts to production-grade solutions that can scale for hundreds of thousands of users

    • Create and manage machine learning pipelines on a Hadoop cluster to support any kind of model deployment on streaming or batch data.

    • Tackle challenging problems, such as developing web services and ETL pipeline components, to productize and evaluate machine learning models

    • Write production code and collaborate with Solutions Architects and Data Scientists to implement algorithms in production

    • Design, conduct, and analyze experiments to validate proposed ML modeling approaches as well as improvements to existing ML pipelines

    Qualifications

    • Previous experience as a Software Engineer, Data Engineer or Data Scientist (with hands-on engineering experience)
    • Solid programming experience in Python, Java, Scala, or other statically typed programming language
    • Hands-on experience in one or more big data ecosystem products/languages such as Spark, Impala, Solr, Kudu, etc
    • Experience working with Data Science/Machine Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc.
    • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
    • Excellent communication skills; previous experience working with internal or external customers
    • Strong analytical abilities; ability to translate business requirements and use cases into a Hadoop solution, including ingestion of many data sources, ETL processing, data access, and consumption, as well as custom analytics
    • 4 year Bachelor's Degree in Computer Science or a related field, or equivalent years of professional working experience.

    Keywords: Hive, Apache Spark, Java, Apache Kafka, Big Data, Spark, Solution Architecture, Cloudera, Apache Pig, Hadoop, NoSQL, Cloudera Impala, Scala, Python, Data Engineering, Big Data Analytics, Large Scale Data Analysis, ETL, Linux, Kudu, Pandas, TensorFlow, h2o, R, Keras, PyTorch, scikit-learn, Machine Learning, Machine Learning Engineering, Data Science, PySpark, NLP

  • phData
    Preferred timezone: UTC -6

    Are you inspired by innovation, hard work and a passion for data?    

    If so, this may be the ideal opportunity to leverage your Software Engineering, Data Engineering or Data Analytics experience to design, develop and innovate big data solutions for a diverse set of clients.  

    At phData, our proven success has skyrocketed the demand for our services, resulting in quality growth and an expanded presence at our company headquarters conveniently located in Downtown Minneapolis (Fueled Collective).

    As the world’s largest pure-play Big Data, Machine Learning and Data Science services firm, our team includes Apache committers, Machine Learning experts and the most knowledgeable Scala development team in the industry. phData has earned the trust of customers by demonstrating our mastery of Big Data and Machine Learning services and our commitment to excellence.

    In addition to a phenomenal growth and learning opportunity, we offer competitive compensation and excellent perks including base salary, annual bonus, extensive training, paid Cloudera certifications - in addition to generous PTO and employee equity.

    As a Machine Learning Engineer, your responsibilities include:

    • Convert proof of concepts to production-grade solutions that can scale for hundreds of thousands of users

    • Create and manage machine learning pipelines on a Hadoop cluster to support any kind of model deployment on streaming or batch data.

    • Tackle challenging problems, such as developing web services and ETL pipeline components, to productize and evaluate machine learning models

    • Write production code and collaborate with Solutions Architects and Data Scientists to implement algorithms in production

    • Design, conduct, and analyze experiments to validate proposed ML modeling approaches as well as improvements to existing ML pipelines

    Qualifications

    • Previous experience as a Software Engineer, Data Engineer or Data Scientist (with hands-on engineering experience)
    • Solid programming experience in Python, Java, Scala, or other statically typed programming language
    • Hands-on experience in one or more big data ecosystem products/languages such as Spark, Impala, Solr, Kudu, etc
    • Experience working with Data Science/Machine Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc.
    • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
    • Excellent communication skills; previous experience working with internal or external customers
    • Strong analytical abilities; ability to translate business requirements and use cases into a Hadoop solution, including ingestion of many data sources, ETL processing, data access, and consumption, as well as custom analytics
    • 4 year Bachelor's Degree in Computer Science or a related field, or equivalent years of professional working experience.

    Keywords: Hive, Apache Spark, Java, Apache Kafka, Big Data, Spark, Solution Architecture, Cloudera, Apache Pig, Hadoop, NoSQL, Cloudera Impala, Scala, Python, Data Engineering, Big Data Analytics, Large Scale Data Analysis, ETL, Linux, Kudu, Pandas, TensorFlow, h2o, R, Keras, PyTorch, scikit-learn, Machine Learning, Machine Learning Engineering, Data Science, PySpark, NLP

This month - Remote Keras jobs
  • DjangoForce
    $60,000.00 - $96,000.00.Preferred timezone: UTC -11 to UTC -3

    The ML engineer will produce a model based on a custom data set that will analyze and report cardiac anomalies from a unique users heart beat.  We'd eventually like to allow the possibility to diagnose and predict cardiac disease and arrest.

    We  plan to do a proof of concept project first, to ensure we will have a solid understanding of what the effort will be to produce the final product.

  • Agile Resources
    $120,000.00 - $200,000.00.

    Our client is a software shop in Atlanta which is building an innovative web, mobile and IOT platform for the entertainment industry. They are currently looking for software engineers with experience in Python-based Machine Learning and Artificial Intelligence using frameworks such as TensorFlowPyTorch or Keras.

    The focus of the Machine Learning (ML) Engineer will be to help create artificial intelligence products. ML Engineer responsibilities include creating machine learning models and retraining systems. Your goal will be to shape and build efficient self-learning applications.

    Requirements:

    • Proven experience as a ML Engineer or similar role
    • Understanding of data structures, data modeling and software architecture
    • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
    • Experience in applying machine learning, predictive analytics and classification techniques towards real product and problems
    • Ability to write robust code in Python or Java or equivalent modern programming language
    • Proficiency in SQL, big data technologies and working with large data sets

    Pluses:

    • BS in Computer Science, Mathematics or similar field; Master’s degree is a plus
    • Experience designing and building web scale distributed systems
    • Deep knowledge of math, probability, statistics and algorithms
  • causaLens
    PROBABLY NO LONGER AVAILABLE.Must be located: United States of America.

    Summary

    We are looking for a motivated and high-achieving Senior Python Developer based anywhere in Europe to join the team working on an exciting new Big Data/Machine Learning platform. This is a full time placement with significant opportunities for growth and advancement as one of the first employees of the company.

    The Company

    causaLens is a deep-tech startup based in London backed by prominent VCs. We are on a mission to develop a machine that predicts the global economy in real-time. We develop the next generation of autonomous predictive technology for complex and dynamic systems. We call it the CLPU (causaLens Predictive Unit). Our technology helps large organisations optimise business outcomes at scale.

    Visit www.causaLens.com to find out more.

    Core requirements:

    • Smart, capable and can write clean code

    • Ability to design and architect high-performance distributed software

    • Development experience in at least one scripting language - preferably Python

    • Interest in machine learning/big data (prior experience plus)

    • Knowledge of the Git version control system

    • Good organisational skills both in management of time and code

    • Ability to effectively work remotely (from home or a coworking space)

    Roles and Responsibilities:

    Developing an automated machine learning platform for quantitative finance. The application stack is Python, Numpy, Scipy, Sklearn, Keras, Django, Celery, Postgres, AWS, GCP.

    Benefits:

    Successful candidate will have the opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference. We will offer guidance, mentorship, and opportunities for professional development.

  • Luna
    PROBABLY NO LONGER AVAILABLE.$40,000.00 - $120,000.00.

    Overview

    Luna is looking for a senior data scientist to help develop data science libraries and pipelines for clients using Luna, a project said by NASA and Singularity University to be 1 of 20 most impressive technologies worldwide. If you bring strong analytical and technical skills, and have a passion for data, this could be the role for you.

    As a Senior Data Scientist at Luna, you'll be instrumental in the design and development of custom solutions and pipelines to help our customers and clients get the results that they need when working with Luna. You'll be able to collaborate with a team of world-class engineers, community managers, and business developers (from Bloomberg, PayPal, and GitHub, amongst others) to make your mark on this project's future.

    What You'll Do

    As a senior data scientist at Luna, you'll be in charge of developing both libraries and pipelines for customers and the wider community. This will involve:

    • Working closely with key stakeholders and customers to develop and tailor customised data-analysis toolkits and pipelines to fit their needs.
    • Using your experience to inform design choices regarding Luna, especially around its support for data-analysis and machine-learning workflows.
    • Working closely with internal teams to ensure that the product evolves to make such uses as simple and easy as possible.
    • Contribute to the growth and success of a vibrant open-source project and its greater ecosystem.

    The Skills We're Looking For

    We have a particular set of skills that we're looking for in this role:

    • 5+ years of practical experience working with data-science pipelines for performing automated analysis, predictive analytics, or machine learning.
    • Practical experience with existing data-science toolkits such as Keras and Tensorflow.
    • An interest in building new data-science tools and pipelines.
    • Practical experience with at least one functional programming language, preferably Haskell. Please note that this does not count languages (such as Python), that enable limited forms of functional programming.
    • An interest in working with clients and users to create solutions that fit their needs and enhance their work.

    It would be a big bonus if you also had:

    • Experience building customized data-science pipelines, tailored to particular tasks.
    • Experience in the deployment of data-science solutions.