Machine Learning Engineer (TS/SCI + Poly)

at  The DarkStar Group

Chantilly, VA
Description
The DarkStar Group is seeking a Machine Learning Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. Below is an overview of the project, as well as information on our company, our benefits, and our $25,000 referral program.

• The Contractor Team shall create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.
• The Contractor Team shall develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices.
• The Contractor Team shall clean, parse and transform data from multiple file types into appropriate database architectures (e.g. SQL, noSQL, and graph) which perform at scale.
• The Contractor Team shall develop, deploy and provide feature enhancements using Python for data science products and services, to include Python packages, code documentation, notebooks, and microservices.
• The Contractor Team shall ensure that all technical development and content complies with Sponsor’s security policies and regulations.
• The Contractor Team shall work closely with the Sponsor to review and track data science and data engineering requirements and provide regular updates to clearly explain the project status and results in both written and verbal or multimedia briefings.
• The Contractor Team shall consult with stakeholders to determine present and future user needs for Sponsor consideration.
• The Contractor Team shall be required to communicate and collaborate across organizational boundaries, to include other staff and contractor teams.
• The Contractor Team shall work with Sponsor staff and contractor personnel, as well as external stakeholders on mission-based projects.
• The Contractor Team shall implement data science and data engineering requirements as defined by the Sponsor.
• The Contractor Team shall determine how requirements are satisfied. Project priorities are managed by the staff manager of the business unit. Planned activities shall be coordinated with all stakeholders and approved by the Sponsor.
• The Contractor Team shall utilize project management systems such as Confluence and JIRA to define and track requirements.
• The Contractor Team shall ensure that technical solutions leverage industry best practices, designing for security and excellence while minimizing the total cost of ownership