We are seeking an experienced MLOps Engineer to design and architect an MLOps platform in the Cloud that shortens the time it takes to get new capabilities from development to production, to support mission critical operations.
Requirements
- Experience with Object-Oriented Programming (OOP), including in Python
- Experience with developing containerized applications, including API design and authentication
- Experience with developing software using cloud technologies, including AWS
- Experience with leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage datasets and model training, deployment, and monitoring
- Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem
- Top Secret clearance
- HS diploma or GED
- Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC certification within 6 months of hire date
Benefits
- Health benefits
- Life insurance
- Disability insurance
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care