The Agentic AI Machine Learning Engineer will design, create, and implement complete AI systems to transform client operations, increase data accessibility, and optimize AI and ML systems. The engineer will have experience in machine learning operations, software deployment, and integration into various mission environments.
Requirements
- 3+ years of experience as a 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
- TS/SCI clearance
- Bachelor’s degree
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave, professional development, tuition assistance, work-life programs, and dependent care
- Recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values