Machine Learning Engineer

Key Role:

Processes data and information at massive scale with machine learning technologies. Apply specific functional and working or general industry knowledge. Develop or contribute to solutions to a variety of problems of moderate scope and complexity, if needed. Work independently with some guidance and review or guide the activities of junior employees, if needed.
 

Basic Qualifications:

  • 2+ years of experience with machine learning, data science, or data engineering

  • Experience with operationalizing ML pipelines on production platforms

  • Experience with scripting languages, including Python and R and using packages used in machine learning applications or advanced data analytics

  • Experience with containerizeration and orchestration software, including Docker, Kubernetes, or OpenShift

  • Experience with the CI/CD process

  • Ability to interact with multidisciplinary teams, including data scientists and technical consultants in project-based areas

  • Ability to articulate workflows and explain technical concepts to non-technical audiences

  • Ability to obtain a security clearance

  • BA or BS degree

Additional Qualifications:

  • Experience with deploying models at scale in cloud environments such as AWS or Azure

  • Experience with machine learning hardware including NVIDIA DGX, AMD or small form factor hardware such as NVIDIA Jetson

  • Experience with workflow management tools such as Apache Airflow

  • Experience with Big Data technologies, including AWS, Azure, HDFS, Hadoop

  • Experience with data science frameworks such as DataBricks, DataRobot, or Cloudera

  • Experience with a wide variety of machine learning tools, including Elasticsearch, Keras, TensorFlow, or Caffe

  • Knowledge of NLP, computer vision, and other deep learning techniques

  • Secret clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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