Machine Learning Research Intern at Bell Labs collaborating with scientists on innovative machine learning research and thesis projects in AI and telecommunications.
About the role
- 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
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards program
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