AI and ML Data Scientist

Job Title:AI and ML Data Scientist

Location: McLean, VA

Duration: 6 Months + Extension

Bill Rate: $85/hour

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization: U.S. Citizen, H-1B, OPT-EAD, GC-EAD

Job Description:

• Experience developing, integrating, or evaluating AI, ML, NLP, LLMs, or agentic AI capabilities for mission, operational, or enterprise use cases, and building AI-enabled applications using Python and modern AI / ML libraries or frameworks, including PyTorch, Scikit-Learn, LangChain, LlamaIndex, Hugging Face, or CUDA
• Experience developing agentic AI systems, including autonomous or semi-autonomous agents, tool-using agents, multi-step reasoning workflows, task orchestration, retrieval-augmented generation, or human-in-the-loop AI capabilities
• Experience analyzing, processing, and integrating structured and unstructured data sources, including intelligence data such as text, reports, messages, met adata, documents, or geospatial data
• Experience designing, testing, validating, or evaluating AI/ML systems, including model performance, accuracy, relevance, robustness, hallucination mitigation, or mission-aligned evaluation criteria
• Experience supporting military intelligence, defense intelligence, all-source analysis, targeting, indications and warning, collection management, operations intelligence, or national security missions, and developing AI systems for classified, air-gapped, secure, or operationally constrained environments
• Experience with prompt engineering, prompt evaluation, model benchmarking, fine-tuning, synthetic data generation, or LLM application development
• Knowledge of information retrieval, embeddings, vector databases, semantic search, data labeling, classification models, model evaluation, and data quality assessment
• Ability to translate military intelligence mission requirements into technical AI solutions, prototypes, and production-ready capabilities
• TS/SCI clearance
• Bachelor's degree in Data Science, CS, AI, ML, Engineering, Operations Research, Applied Mathematics, or Statistics

Equal Opportunity Employer:

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.