Lead Software Engineer - MLOps
Tasks
- Build software services frameworks APIs and shared libraries
- Conduct code reviews design reviews and incident analysis
- Design build and evolve production grade MLOps and ML platform capabilities
- Enable scalable secure observable cost effective solutions
- Ensure governance for machine learning models
- Establish MLOps engineering standards patterns and best practices
- Evaluate machine learning models
- Implement CI/CD pipelines for ML
- Improve reliability and operational processes
- Lead AWS based ML platform architecture decisions
- Manage model lifecycle and deployment
- Mentor engineers and raise technical standards
- Monitor models in production
- Provide technical leadership for MLOps team
Perks/Benefits
Skills/Tech-stack
AWS | Automation | CI/CD | Cloud Native | Cloud Native Architecture | CloudFormation | Distributed Systems | Incident Response | Infrastructure as Code | Java | LLM | LLMOps | MLOps | Machine Learning | ModelOps | Monitoring | Observability | Python | Reliability Engineering | Scala | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Engineer | Lead | Lead Software Engineer | MLOps Engineer | Software Engineer
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