Machine Learning/AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Facilitate cross-functional teams as they progress from concept to shaping and Minimum Viable Product (MVP).

• Collaborate with teams from the National Institutes of Health institutes or centers on medical research and public health initiatives.

• Provide knowledge sessions to equip teams with relevant technologies and practical expertise.

• Support data engineering and preparation efforts to help teams leverage existing or new data sources.

• Quickly develop proof-of-concept AI prototypes and functional demonstrations to validate use cases and enhance stakeholder engagement.

• Show iterative value creation across team capabilities.

• Work alongside cross-functional teams within federal agencies and partner organizations.

• Design solutions based on clearly defined requirements.

• Drive innovation while managing associated risks.

• Communicate visionary ideas and lead teams toward the forefront of innovation.

• Engage with client leads, business operators, fellow consultants, the Mind Moves project team, and scientists from NIH and Mind Moves.

⛳️ Requirements

• Over 7 years of professional experience in Data Science, Machine Learning, or AI Engineering.

• In-depth, hands-on expertise with Azure, including Azure AI Foundry, Azure OpenAI Service, Azure Cosmos DB, and the M365 ecosystem (Teams, SharePoint, Copilot).

• Experience implementing production-level RAG, including retrieval strategies, relevance ranking, chunking, access-controlled data filtering, and evaluation.

• Strong expertise in GenAI/LLM, covering prompt engineering, model selection and strategy, structured outputs, evaluation frameworks, and guardrails.

• Background in designing and orchestrating agentic AI workflows using LangChain, AutoGen, or Microsoft Semantic Kernel.

• Experience with knowledge graphs or graph databases, especially Neo4j or Azure Cosmos DB graph API.

• Familiarity with Databricks and MCP integration.

• Proficient in data engineering and ETL practices, including pipeline design, API integration, and backend development.

• Knowledge of AI governance aligned with NIST AI RMF and NIH/HHS standards, including designing human-in-the-loop workflows and RBAC in federal settings.

• Proficiency in Python, PyTorch, and SQL.

• Experience taking solutions from proof of concept through MVP to production deployment.

• Excellent communication skills with the ability to lead knowledge sessions for non-technical stakeholders.

• Must be US-based.

• Successful completion of a comprehensive background check is required.

• Availability for meetings during standard Eastern business hours, approximately 8:00 AM–6:00 PM EST.

• Professional working proficiency in English across reading, writing, speaking, and listening.

🏝️ Benefits

• Contribute to significant impacts in scientific discovery and public health.

• Acquire hands-on experience with cutting-edge AI/ML technologies.

• Work at the crossroads of health, data, and AI in a dynamic, mission-driven environment.

• Enjoy the flexibility of 100% remote work.

• Immediate start opportunity available.