Machine Learning Engineer

Description

Strong experience with software development with Python, R, Scala, Java and open programming languages Strong knowledge of Machine Learning Models (Python, R and TensorFlow based) Strong knowledge of Machine Learning Platforms including Public Cloud OfferingsJob Description Work Assignments Will include the following... Setting standards and guidelines for the products to ensure consistent use to minimize impact to the availability of the Machine Learning Platform and other infrastructure used for data analytics Identifying, recommending and implementing new tools based on industry direction and business needs Creating and supporting procedures and patterns for using the platforms Providing third level support for the products using Information Technology Infrastructure Library (ITIL) Incident, Problem and Change Management principles, practices and using a ticketbased tool. Creating and supporting automated solutions for provisioning new solutions on the platform. Creating and supporting automated monitoring and recovery solutions. Providing and maintaining code snippets that enable platform consumers to learn how to enable their solution using the platform.Professional Experience Strong experience with software development with Python, R, Scala, Java and open programming languages Strong knowledge of Machine Learning Models (Python, R and TensorFlow based) Strong knowledge of Machine Learning Platforms including Public Cloud Offerings Exerience with defining runtime needs and software to facilitate application, runtime and middleware components for Machine Learning Models Experience with product ownership and applying product lifecycle practices Experience in using R, Python, Scikitlearn, TensorFlor and/or Keras. Experience in designing and building solutions in a Hadoop ecosystem including HDFS, Hive, Spark, Kafka Experience with Docker, Postgress and Puppet for automation needs Experience with development lifecycle including quality assurance, code management, and code deployment tools Experience with translating requirements into working prototypes and use of iterative development practices Experience with Machine Learning Build Containers/Deploy Containers/Container Registry (GitLab)/Container Mgmt. Experience with use and support of open source products Experinnce with developing APIs Knowledge / experience with Red Hat Enterprise Linux (RHEL) Operating System, tools, command lines and structures Knowledge / experience helpful for usage of CI/CD pipeline (i.e. GitLab, GitLabRunner) Knowledge / experience with Nvidiadocker, GPU specific technologies Knowledge/ experience with API Definition (Sync/Async) and design patterns. Knowledge / experience with SQL, ETL, Data Wrangling Knowledge Data Store integration (JDBC connecitivity and security connectively to other platforms) Basic understanding of security protocols (i.e. Kerberos) Basic understanding of network technologies (i.e. data traffic) Basic understanding of GPU use for Deep Learning and Inference a plus