ML Engineer
AI Engineering
Hybrid (Washington, DC)
Full-Time
About This Role
We need an ML Engineer to build and deploy production machine learning systems for government and enterprise clients. You'll work on projects ranging from computer vision for satellite imagery to NLP for document analysis.
What You'll Do
- Design and implement production ML pipelines end-to-end
- Build data validation, model monitoring, and automated retraining systems
- Deploy models on cloud and on-premise infrastructure
- Collaborate with domain experts to translate business requirements into ML solutions
Requirements
- 3+ years building production ML systems (not just notebooks)
- Strong Python skills with experience in PyTorch or TensorFlow
- Experience with MLOps tools (MLflow, Kubeflow, or similar)
- Familiarity with cloud ML services (SageMaker, Vertex AI)
- US citizenship or permanent residency (government projects)