Machine Learning Engineer
Overview
In this role you will develop and deploy AI-driven applications to optimize enterprise IT operations. You will collaborate with cross-functional teams to design scalable ML solutions, from data pipelines to production models. You drive reliable, secure AI deployments and stay ahead of ML trends to deliver measurable impact. This position supports national missions with advanced AI capabilities and offers growth through learning resources and a flexible work culture.
Compensation / Benefitsflexible time offrobust learning resourceshealthcare benefitsretirement planswellness programsfamily support
ResponsibilitiesDevelop and maintain ML pipelines and applications using Python and modern ML frameworksIntegrate and deploy large language models (LLMs) in production environmentsCreate RESTful APIs and microservices to serve ML modelsWrite clean, documented, OOP-based code and perform code reviewsCollaborate with cross-functional teams to translate requirements into technical solutionsManage training data, model artifacts, and state with SQL, NoSQL, and vector databasesContainerize applications with Docker for consistent deploymentTest and debug ML applications to ensure reliability and accuracySupport deployment and monitoring of AI/ML models in cloud environmentsStay current with ML trends, LLMs, and engineering best practices
Key requirementsActive TS/SCI clearance with PolyBachelor in Computer Science, Software Engineering, Data Science, or related field with 5 years of professional experienceStrong Python programming and solid OOP, data structures, algorithmsExperience with Git, Docker, and database management (SQL and/or NoSQL)Knowledge of LLM technologies and orchestration frameworks (LangChain, LangGraph)Understanding of RAG architectures and vector databases (ChromaDB, Pinecone, Weaviate)Strong problem-solving, communication, and collaborative skillsEagerness to learn in a team environmentstrong communicationproblem-solvingcollaborative mindsetPythonobject-oriented programmingGit