AI/ML Engineer
$190,000–$220,000 year
RemoteUnited States
Job Summary
Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives for Department of Defense and Intelligence Community customers. Build, train, and fine-tune models using PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain while operationalizing MLOps pipelines with MLflow, Kubeflow, and DVC. Implement vector databases and retrieval architectures, write efficient Python code for data ingestion and inference services, and experiment with fine-tuning LLMs using LoRA, QLoRA, and PEFT. Contribute to agent-based applications and integrate AI services into real-world systems via APIs or UI copilots. Collaborate with data engineers, software developers, and mission analysts to ensure production-ready alignment with customer needs. Participate in peer reviews, contribute to shared repositories, and document models for reproducibility. Requires 6-10+ years of professional experience, U.S. citizenship, and ability to obtain and maintain a security clearance.
Required Qualifications
- U.S. citizen
- willing to obtain and maintain a security clearance
- 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments
- 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments
- Strong Python development skills
- hands-on experience building AI/ML solutions
- Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain
- Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent
- Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph)
- Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT
- Professional experience integrating AI capabilities into production systems or mission applications
- Active Secret clearance
- ability to obtain one
Desired Qualifications
- Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning
- Understanding of prompt engineering, retrieval quality, and grounding methods
- Exposure to GPU-based or edge inference environments
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field
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