Bowhead seeks a Sr. Data Scientist – AI/ML & LLM Specialist to join their team supporting the AR/PA IT Program at Naval Surface Warfare Center - Corona in Corona, California. The role involves analyzing complex technical assignments and leading/collaborating on projects within an agile environment, considering project design, cost, and schedule.
Requirements
- Strong programming skills in Python; experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
- Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines
- Experience integrating AI/ML models into secure or cloud-hosted environments (AWS, Azure, etc.)
- Knowledge of RMF, STIGs, and DoD cybersecurity compliance practices
- Five (5+) years of experience developing and deploying AI/ML models in enterprise or government environments
- Must hold CompTIA Security+ (CE) certification
Responsibilities
- Hands-on experience fine-tuning and applying Large Language Models (LLMs) such as GPT, LLaMA, or Claude for NLP and generative tasks
- Strong programming skills in Python; experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
- Proven experience with data analytics, feature engineering, and building end-to-end ML pipelines
- Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines
- Experience integrating AI/ML models into secure or cloud-hosted environments (AWS, Azure, etc.)
- Conduct research to identify and assess new technology solutions for automating existing reporting processes.
- Lead the development of interfaces and software code to efficiently retrieve, modify, and update data.
Other
- Active DoD Security Clearance (Secret or higher required)
- Strong problem-solving skills and the ability to innovate and implement creative solutions.
- Excellent communication skills to collaborate effectively with cross-functional teams.
- Attention to detail and a commitment to producing high-quality results.
- Ability to provide clear and comprehensive technical documentation.
