Principal Software Engineer - MLOps
Tasks
- Build scalable secure observable services
- Conduct model evaluation and monitoring
- Design build and evolve production MLOps and ML platform capabilities
- Establish engineering and MLOps standards and best practices
- Implement CI/CD pipelines for ML
- Lead design decisions for AWS based ML platforms
- Manage model lifecycle development
- Mentor engineers and raise technical bar
- Partner with architecture security risk and product teams
- Perform code reviews design reviews incident analysis and operational improvements
- Provide technical leadership for MLOps squad
Perks/Benefits
- Career development opportunities
- Employee mental health support
- Employee well-being programs
- Hybrid work flexibility
- Training and coaching
- Wellness programs
Skills/Tech-stack
APIs | AWS | CI/CD | Cloud Native | Cloud Native Architecture | CloudFormation | Compliance | Distributed Systems | Governance | Incident Response | Infrastructure as Code | Java | LLM | LLMOps | Lifecycle Management | MLOps | Machine Learning | Model Evaluation | Model Lifecycle | Model Lifecycle Management | ModelOps | Monitoring | Observability | Python | Reliability Engineering | Scala | Terraform | “as-code”
Education
N/A
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