Distinguished AI/ML Engineering Lead
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Job Description
Distinguished AI/ML Engineer designing scalable AI systems for defense and intelligence sectors. Leading architectural integration of AI technologies into mission-critical operations.
Responsibilities:
- Architect and integrate hybrid AI systems.
- Design and deploy scalable AI architectures.
- Lead the full AI/ML lifecycle.
- Engineer event-driven data pipelines and feature stores.
- Ensure Responsible AI practices.
- Implement and maintain MLOps pipelines.
- Transition R&D prototypes into production.
- Provide technical leadership and mentorship.
- Collaborate across engineering, data, and modeling teams.
- Support proposal and solution development.
Requirements:
- Active Secret clearance required; TS/SCI strongly preferred.
- Bachelor's degree in Computer Science, Engineering, or a related technical field (Master’s or Ph.D. preferred).
- 10+ years of overall experience in AI/ML development.
- 5+ years designing and deploying scalable AI/ML architectures.
- Proficiency in Python, PyTorch, TensorFlow, and modern ML frameworks.
- Experience designing or deploying systems using vector databases (Milvus, Pinecone, Weaviate).
- 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.
- Experience integrating AI models into simulation, modeling, or operational planning systems is highly desirable.
Benefits:
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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