Found Description
**Minimum qualifications**:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in AI/ML development, AI infrastructure engineering, or software development.
- 5 years of experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
- 5 years of experience with Python and with libraries like PyTorch, TensorFlow, or Hugging Face Transformers.
- Ability to travel up to 25% of the time as needed.
- Must possess an active Top Secret/SCI security clearance with current polygraph.
**Preferred qualifications**:
- 5 years of experience in AI/ML research or software development.
- Experience with LLM deployment frameworks such as vLLM, NVIDIA Triton, or Ollama and agent development.
- Familiarity with cloud-native AI services (e.g., cloud computing platform, Google Vertex AI).
- Track record of deploying AI models on air-gapped or on-premises high-performance computing (HPC) systems.
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