AI & ML Engineer

STEM Solutions • McLean, VA

17d

About The Position

As a machine learning engineer on our autonomy team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You will be responsible for the end-to-end training and deployment of edge LLMs and SLM, starting from data gathering or generation to training via LoRA, SFT, and unsupervised training like RL. Work with us to solve real-world challenges and define ML strategy for the U.S. military and operators.

Requirements

• 4+ years of experience with ML and AI
• 3+ years of experience training AI models, and with GenAI, including fine-tuning
• Experience performing distributed training across large GPU clusters
• Experience with LangChain, LangGraph, AutoGen, or LlamaIndex
• Experience with Model Context Protocol (MCP) for tool integration and A2A for agent-to-agent collaboration
• Experience in RAG architecture
• Knowledge of graphs, including Neo4j or NebulaGraph
• Knowledge of modern software design patterns, including microservice design or edge computing
• Ability to obtain a Secret clearance
• Bachelor’s degree in a CS or AI field

Nice To Haves

• Experience generating datasets for LLM or SLM fine-tuning
• Experience deploying models to compute-constrained environments
• Master’s degree in a CS, AI, or related field preferred
• Doctorate degree in CS, Statistics, or a related field a plus

Responsibilities

• Train, test, deploy, and maintain models that learn from data.
• Contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
• Responsible for the end-to-end training and deployment of edge LLMs and SLM, starting from data gathering or generation to training via LoRA, SFT, and unsupervised training like RL.
• Solve real-world challenges and define ML strategy for the U.S. military and operators.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior