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Tech Stack
Tools & technologiesAWSCloudPython
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Comp & perks- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards program
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Object-Oriented ProgrammingPythoncontainerized applicationsAPI designauthenticationcloud technologiesAWSMLOps platformsMachine LearningCI/CD workflows
Certifications
Top Secret clearanceHS diplomaGEDSecurity+ CESSCPCCNA-SecurityGSEC