Distinguished AI/ML Engineer
RemoteUnited States
Job Summary
Architect and integrate hybrid AI systems combining traditional machine learning, deep learning, and large language models into scalable microservices and APIs. Lead the full AI/ML lifecycle from data ingestion and feature engineering through training, deployment, and sustainment within secure DoD environments. Engineer event-driven data pipelines and feature stores for structured and unstructured data, ensuring Responsible AI practices with traceability and explainability. Transition R&D prototypes into production, optimizing for mission constraints like limited compute or edge operations. Provide technical leadership and mentorship while collaborating across engineering and modeling teams to unify the AI portfolio. Support proposal and solution development with technical inputs for architectures and assurance frameworks. Requires active Secret clearance with TS/SCI preferred, 10+ years in AI/ML development, and Python proficiency.
Required Qualifications
- Active Secret clearance
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 10+ years of overall experience in AI/ML development
- 5+ years designing and deploying scalable AI/ML architectures
- At least two full lifecycle implementations (from prototype to operational system)
- Proficiency in Python
- Proficiency in PyTorch
- Proficiency in TensorFlow
- Experience designing or deploying systems using vector databases (Milvus, Pinecone, Weaviate)
- Knowledge of knowledge graphs
- Knowledge of semantic search frameworks
- Proven ability to design event-driven data pipelines using Databricks, Spark, Flink, or Kafka
- Demonstrated experience deploying AI/ML systems in secure, classified, or edge environments
- Familiarity with Responsible AI and assurance principles, including bias detection, explainability, human-machine teaming, and hallucination prevention
- Strong communication and mentoring skills
- Ability to lead technically while remaining deeply hands-on
Desired Qualifications
- TS/SCI clearance
- Master's or Ph.D. degree
- Experience integrating AI models into simulation, modeling, or operational planning systems
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