AI/ML Engineer

Overview

We are looking for AI/ML Engineers to build, deploy, and maintain machine learning models and data-driven systems at scale.

What You’ll Do

• Develop and train machine learning models
• Deploy models into production environments
• Build data pipelines and workflows for model training and inference
• Collaborate with software and DevOps teams for integration
• Monitor model performance and optimize over time
• Support the full ML lifecycle (data → training → deployment → monitoring)

Core Skills

• Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Experience with data processing and feature engineering
• Understanding of model evaluation and performance tuning
• Experience deploying ML in production environments
• B.S. degree in a technical field and 3+ years of experience

Nice to Have

• MLOps / model lifecycle tools
• Cloud ML services (AWS SageMaker, Azure ML)
• Experience with large-scale or real-time systems

CLEARANCE REQUIRED:

TS/SCI w/ Polygraph

Other Requirements:

U.S. Citizenship

Compensation Spotlight:

For this role, our typical salary range starts at $150,000 and stretches up to $270,000. But here's the deal - we're not about capping your potential. We're committed to snapping up the best and brightest, and we're ready to put our money where our mouth is. So, if you're one of the rare exceptions to the status quo with the education, experience, and that extra something special, we're not afraid to go above and beyond to secure your talent. Because for us, it's not just about a salary. It's about the complete rewards package, the culture, and the opportunity to make a real impact.