Senior AI/ML Engineer

September 30

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Logo of MetroStar

MetroStar

Enterprise IT • Cyber Security • Digital • Government Contractor • Cloud

201 - 500

Description

• As a Sr. AI/ML Engineer III, you'll be a thought leader on a DHS contract, and will work with and provide guidance on the organization's implementation of large datasets with specific goals on maintaining and enhancing the quality of data (more than 500M records). • Efforts will include implementation and continuous improvement of Machine Learning as a Service (MLaaS), Graph Data Science, and other informed algorithms and AI/ML techniques to improve data usability. • You will analyze complex datasets to assess performance or find new patterns. • You will apply machine learning techniques to data sets related to immigration. • You will present results to a diverse audience in presentation or report form. • You will lead architectural design, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements. • You’ll support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas.

Requirements

• You have a minimum of ten (10) years of IT experience, focusing on enterprise data architecture and management. • You have at least eight (8) years of experience in Conceptual/Logical/Physical data modeling. • You have experience in identity/entity resolution • You have experience applying graph data science solutions (e.g., leveraging tools like Python, Pandas, Numpy, Sidekick Learn, Neo4j) • You have experience in modeling solutions in AWS that us AI/ML algorithms • You have at least ten (10) years of proven expertise in Relational and Dimensional Data Modeling. • You have experience of cloud architecture, specifically AWS, as it relates to data processing (i.e., EC2, S3, Redshift, etc.). • You are able to define & maintain BI/Data Warehouse methodologies, standards, and industry best practices. • You have experience leading and architecting enterprise-wide initiatives, specifically system integration, data migration, transformation, data warehouse build, data mart build, data lakes implementation / support, as well as O&M etc. for a large enterprise. • You possess expertise in large scale database requirements supporting diverse data types. • You have experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management. • You have at a minimum a bachelor’s degree in Data Science, Statistics, Computer Science, Information Technology Management or Engineering, or other comparable degree or experience • You have the ability to obtain and maintain a DHS Suitability

Benefits

• a generous benefits package • professional growth • valuable time to recharge

Apply Now

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