Lead Software Engineer - MLOps
Tasks
- Build services frameworks APIs and shared libraries for ML and GenAI
- Conduct code reviews design reviews and incident analysis
- Design build and evolve production grade MLOps and ML platform capabilities
- Ensure solutions are secure scalable observable and cost effective
- Establish engineering and MLOps standards patterns and best practices
- Implement CI/CD pipelines for ML workflows
- Lead design decisions for AWS based ML platforms
- Manage model lifecycle and governance
- Mentor engineers and improve technical bar
- Monitor evaluate and ensure reliability
- Provide technical leadership for MLOps team
Perks/Benefits
- Career path opportunities
- Employee coaching and training
- Employee well-being support
- Hybrid work flexibility
- Networking potential
- Wellness programs
Skills/Tech-stack
API Development | AWS | CI/CD | Cloud Native | Cloud Native Architecture | CloudFormation | Distributed Systems | Incident Response | Infrastructure as Code | Java | LLMOps | MLOps | Machine Learning | Model Governance | Model Monitoring | ModelOps | Observability | Python | Scala | Scalable systems | Secure Design | Software Engineering | Terraform | Testable Code | “as-code”
Education
N/A
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer
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