Telework: Possible up to 2 days a week if tasking is available. Not guaranteed.
IS Task Order Description:
Leveraging advances in data science to support challenging analytic problems including information overload, discovery, attribution, tracking, and assessment. Develop an evolving suite of operational prototypes driven by state-of-the-art data science techniques for behavioral, geo-temporal, social, and content analysis against full-scale collection in robust, flexible, and multi-tenant cloud environments. Research to advance the science of machine learning and statistics in mission problems.
Task Order Required Skills:
• Minimum 1 year hands-on MLOps experience, including fine-tuning and operationalizing small ML models
• Python
• Python libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Pytorch, Keras, spaCy, GLiNER)
• Java
• JavaScript
• Angular
• React
• Docker
• Kubernetes
• AWS
• Bash
• Databases - Postgres, neo4j, click-house, accumulo, mongo-db, sql-lite, duckDB
• Operating Systems - Linux (RHEL 8), Windows
• Experience working with LLMs
Task Order Desired Skills:
• Experience with Claude Sonnet 4
• Ability to write code with dynamic prompts using OpenAI Chat Completions API
