Metrostar Systems - Washington, DC

posted about 1 month ago

Full-time - Senior
Washington, DC
Professional, Scientific, and Technical Services

About the position

As a Sr. AI/ML Engineer III at MetroStar, you will serve as a thought leader on a DHS contract, focusing on the implementation and enhancement of large datasets, specifically over 500 million records. Your role will involve continuous improvement of Machine Learning as a Service (MLaaS), Graph Data Science, and other AI/ML techniques to enhance data usability. You will also provide guidance and technical support to ensure the integration of identity management system technologies meets security requirements.

Responsibilities

  • Analyze complex datasets to assess performance or identify new patterns.
  • Apply machine learning techniques to data sets related to immigration.
  • Present results to a diverse audience in presentation or report form.
  • Lead architectural design, technical support, and advisement services for identity management system technologies.
  • Support leadership in engaging with senior level executives at a public-facing Federal agency, providing subject matter expertise in security architecture.

Requirements

  • Minimum of ten (10) years of IT experience, focusing on enterprise data architecture and management.
  • At least eight (8) years of experience in Conceptual/Logical/Physical data modeling.
  • Experience in identity/entity resolution.
  • Experience applying graph data science solutions using tools like Python, Pandas, Numpy, Sidekick Learn, Neo4j.
  • Experience in modeling solutions in AWS that utilize AI/ML algorithms.
  • Proven expertise in Relational and Dimensional Data Modeling for at least ten (10) years.
  • Experience with cloud architecture, specifically AWS, related to data processing (i.e., EC2, S3, Redshift, etc.).
  • Ability to define & maintain BI/Data Warehouse methodologies, standards, and industry best practices.
  • Experience leading and architecting enterprise-wide initiatives, including system integration, data migration, transformation, data warehouse build, data mart build, and data lakes implementation/support.
  • Expertise in large scale database requirements supporting diverse data types.
  • Experience briefing technology solutions to technology partners, stakeholders, team members, and senior management.
  • Bachelor's degree in Data Science, Statistics, Computer Science, Information Technology Management, Engineering, or comparable degree/experience.
  • Ability to obtain and maintain a DHS Suitability.

Benefits

  • Generous benefits package
  • Professional growth opportunities
  • Valuable time to recharge
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