Machine Learning/AI Engineer
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Role details
Tech stack
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Job description
NewGen is seeking a Machine Learning/AI Engineer to operate at the intersection of health, data, and AI in a creative, mission-driven environment.
Duties:
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Deliver ‘knowledge sessions’ to teams to familiarize and give working knowledge to teams
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Assist in data engineering and preparation tasks to enable teams who may not have engineering resources to utilize their data or new data sources
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Develop proof-of-concept AI prototypes and functional demos to validate use cases
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Demonstrate iterative value creation across team capabilities
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Collaborate with cross-functional teams across federal agencies and supporting partners
Requirements
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7+ years professional experience in Data Science, Machine Learning, or AI Engineering
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Azure expertise, deep hands-on experience with Azure AI Foundry, Azure OpenAI Service, Azure Cosmos DB, and the M365 ecosystem (Teams, SharePoint, Copilot); general cloud experience is not sufficient
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Production-level RAG implementation - retrieval strategy, relevance ranking, chunking, access-controlled data filtering, and evaluation; this is a non-negotiable core requirement
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Strong GenAI/LLM depth - prompt engineering, model selection and strategy, structured outputs, evaluation frameworks, and guardrails
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Demonstrated experience designing and orchestrating agentic AI workflows using LangChain, AutoGen, or Microsoft Semantic Kernel
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Knowledge graph / graph database experience (Neo4j or Azure Cosmos DB with graph API) - entity modeling, relationship design, query and visualization
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Databricks and MCP integration experience
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Data engineering and ETL - pipeline design, API integration, backend development
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AI governance aligned with NIST AI RMF requirements, including human-in-the-loop workflow design and RBAC in federal environments
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Proficiency in Python, PyTorch, and SQL
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Background or experience in biomedical, bioinformatics, or life sciences preferred
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Experience taking solutions from proof of concept through MVP to production deployment
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Strong communication skills; ability to lead knowledge sessions with non-technical stakeholders
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