ML Engineer (TS/SCI)

Role Overview

Design, build, and deploy machine learning models and pipelines within a classified environment. Collaborate with cross-functional engineering and product teams to integrate ML capabilities into the AI platform. Analyze complex, real-world datasets from government and defense sectors to develop predictive and analytical solutions.

What You Will Do

Design, build, and deploy machine learning models and pipelines within a classified environment. Collaborate with cross-functional engineering and product teams to integrate ML capabilities into the AI platform. Optimize model performance, scalability, and reliability to meet the operational needs of government customers.

Why It Might Be a Fit

Active TS/SCI security clearance is a hard requirement for this role. 3+ years of hands-on experience building and deploying machine learning models in production environments. Strong foundation in applied machine learning, including supervised and unsupervised learning techniques.

Requirements

• Active TS/SCI security clearance
• 3+ years of hands-on experience building and deploying machine learning models in production environments
• Strong foundation in applied machine learning, including supervised and unsupervised learning techniques
• Proficient in Python development with experience using tools like Docker, Git, NumPy, pandas, scikit-learn, and PyTorch

Benefits

• Competitive salary
• Benefits package