Support development, training, and evaluation of machine learning and AI models
Assist in building data pipelines to support model training and inference
Work with structured and unstructured datasets (text, logs, documents, etc.)
Contribute to experimentation frameworks and model benchmarking
Support integration of AI capabilities into production systems and APIs
Write clean, maintainable, and well-documented Python code
Participate in code reviews and collaborative engineering processes
Assist in MLOps activities (model versioning, monitoring, CI/CD integration)
Ensure compliance with security and governance requirements in federal environments
Document technical approaches and support customer briefings as needed

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field
0–3 years of experience in AI/ML, software engineering, or data engineering
Proficiency in Python
Experience with one or more ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
Familiarity with data preprocessing and feature engineering
Strong problem-solving skills and willingness to learn
Ability to work in a collaborative team environment
U.S. Citizenship (if required for federal work)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningAI modelsdata pipelinesPythonMLOpsmodel versioningmonitoringCI/CDdata preprocessingfeature engineering

Soft Skills

problem-solvingcollaborative team environmentwillingness to learn