Senior MLOps Engineer responsible for architecting and streamlining a Cloud-based MLOps platform. Collaborating with Agile teams to improve software delivery for national security operations.
Responsibilities
Design and architect an MLOps platform in the Cloud to support mission critical operations
Streamline our development life cycle from development to production
Work with a collaborative Agile development team to build and maintain Cloud software and infrastructure that supports machine learning
Implement continuous integration and deployment to development, testing, and production environments
Identify new opportunities to build solutions and architecture to help customers meet their toughest challenges
Requirements
4+ years of experience with Object-Oriented Programming (OOP), including in Python
4+ years of experience with developing containerized applications, including API design and authentication
3+ years of experience with developing software using cloud technologies, including AWS
3+ years of 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, life, disability, financial, and retirement benefits
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