Machine Learning/AI Engineer

NewGen Technologies
United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Microsoft Azure Bioinformatics Information Engineering Extract Transform Load (ETL) Graph Database Python (Programming Language) Machine Learning Neo4j Role-Based Access Control Microsoft Copilot Standard Sql
+18 more
Microsoft SharePoint Software Deployment Workflow Management Systems Data Processing Pytorch Retrieval-Augmented Generation Large Language Models Prompt Engineering Model Validation Backend Agentic-AI AI Platforms Azure OpenAI API AutoGen Cosmos DB Graphql Semantic Kernel Databricks

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:

  • 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

  • Develop proof-of-concept AI prototypes and functional demos to validate use cases

  • Demonstrate iterative value creation across team capabilities

  • Collaborate with cross-functional teams across federal agencies and supporting partners

Requirements

  • 7+ years professional experience in Data Science, Machine Learning, or AI Engineering

  • 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

  • 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 requirements, including human-in-the-loop workflow design and RBAC in federal environments

  • Proficiency in Python, PyTorch, and SQL

  • Background or experience in biomedical, bioinformatics, or life sciences preferred

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

  • Strong communication skills; ability to lead knowledge sessions with non-technical stakeholders

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