Note: The job is a remote job and is open to candidates in USA. Mind Moves LLC helps businesses and governments develop and deploy human-in-the-loop AI solutions. The Machine Learning/AI Engineer will guide cross-functional NIH teams from use-case development through MVP, building AI prototypes, supporting data engineering, and designing production-ready solutions for medical research and public health applications.
Responsibilities
- Deliver 'knowledge sessions' to teams to familiarize and give working knowledge to teams
- Assist in data engineering and preparation tasks to enable teams who may not have engineering resources to utilize their data or new data sources
- Rapidly develop proof-of-concept AI prototypes and functional demos to validate use cases, accelerate stakeholder buy-in
- Demonstrate iterative value creation across team capabilities
- Collaborate with cross-functional teams across federal agencies and supporting partners
- Designing solutions with defined requirements
- Innovating ‘outside the box’ while accounting for risk
- Articulate the art of the impossible and lead to the edge of the frontier of innovation
Skills
- 7+ years professional experience in Data Science, Machine Learning, or AI Engineering
- Azure expertise is essential — 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
- Production-level RAG implementation — retrieval strategy, relevance ranking, chunking, access-controlled data filtering, and evaluation; this is a non-negotiable core requirement
- Strong GenAI/LLM depth — prompt engineering, model selection and strategy, structured outputs, evaluation frameworks, and guardrails
- Demonstrated experience designing and orchestrating agentic AI workflows using LangChain, AutoGen, or Microsoft Semantic Kernel
- Knowledge graph / graph database experience (Neo4j or Azure Cosmos DB with graph API) — entity modeling, relationship design, query and visualization
- Databricks and MCP integration experience
- Data engineering and ETL — pipeline design, API integration, backend development
- AI governance aligned with NIST AI RMF, NIH/HHS requirements, including human-in-the-loop workflow design and RBAC in federal environments
- Proficiency in Python, PyTorch, and SQL
- Experience taking solutions from proof of concept through MVP to production deployment
- Strong communication skills; ability to lead knowledge sessions with non-technical stakeholders
- Eastern Time Zone required
- Background or experience in biomedical, bioinformatics, or life sciences preferred
- Maryland/Virginia/DC area preferred
Benefits
- 100% remote in the EST required and DC metro area preferred
- Make a measurable impact on scientific discovery and public health.
- Gain hands-on experience with frontier AI/ML technologies.
- Operate at the intersection of health, data, and AI in a creative, mission-driven environment.
Company Overview