Agentic AI Machine Learning Engineer

Role Overview

As an experienced machine learning engineer, you will design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You will work on a team that creates artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors.

What You Will Do

You will design, create, and implement complete AI systems, ensure that your team's solutions consider the broader ecosystem and operating environment, and deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments.

Why It Might Be a Fit

You will have the opportunity to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization. You will work with a team that values collaboration and effective communication, and you will have access to a range of benefits, including health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.

Requirements

• 3+ years of experience as an ML engineer and building production-grade ML solutions
• 3+ years of experience working within data science or data research in a professional or academic environment
• 3+ years of experience working in cloud environments, including AWS and Azure
• 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes
• Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL)
• TS/SCI clearance

Benefits

• health benefits
• life insurance
• disability insurance
• financial benefits
• retirement benefits
• paid leave
• professional development
• tuition assistance
• work-life programs
• dependent care