help design and architect an MLOps platform in the Cloud
streamline development life cycle from development to production
build and maintain Cloud software and infrastructure that supports machine learning across the enterprise
implement continuous integration and deployment to development, testing, and production environments
identify new opportunities to build solutions and architecture to help customers meet their challenges

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

MLOps Engineer – Mid

Key skills