Principal Software Engineer - MLOps
Tasks
- Build software services frameworks APIs and shared libraries for ML and GenAI
- Design build and evolve production grade MLOps and ML platform capabilities
- Drive evaluation monitoring and governance for machine learning
- Ensure solutions are secure scalable observable and cost effective
- Establish engineering and MLOps standards patterns and best practices
- Implement CI/CD pipelines and automation
- Lead AWS based ML platform architecture decisions
- Lead code reviews design reviews incident analysis and operational improvements
- Manage model lifecycle and deployment
- Mentor engineers and raise technical bar
- Partner with architecture security risk and product teams
- Provide principal level technical leadership for MLOps squad
Perks/Benefits
Skills/Tech-stack
APIs | AWS | AWS CloudFormation | CI/CD | Cloud Native | Cloud-native Architectures | Compliance | Distributed Systems | GenAI | Incident Response | Infrastructure as Code | Java | LLMOps | MLOps | Machine Learning | Model Governance | ModelOps | Monitoring | Observability | Python | Reliability Engineering | Scala | Security and Governance | Software Engineering | Terraform | “as-code”
Education
N/A
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