As an experienced machine learning engineer, you'll create artificial intelligence (AI) and machine learning (ML) enabled solutions to help solve the Defense and Intelligence sectors' toughest challenges.
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 benefits
- Life insurance
- Disability insurance
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care