MetroStar · 3 days ago

Sr. AI/ML Engineer III (5436)

United States

Full-time

Remote

Senior Level, Lead/Staff

10+ years exp

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Artificial Intelligence (AI)Cloud Data Services

Actively Hiring

No H1B

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Responsibilities

You'll analyze complex datasets to assess performance or find new patterns

You'll apply machine learning techniques to data sets related to immigration

You'll present results to a diverse audience in presentation or report form

You'll 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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningGraph Data ScienceAWSData ModelingIdentity/Entity ResolutionData ArchitectureCloud ArchitectureData WarehousePythonPandasNumpySidekick LearnNeo4jData LakesData MigrationData MartDatabase RequirementsStatisticsInformation Technology Management

Required

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.