Lead Software Engineer - MLOps
Tasks
- Build software services frameworks APIs and shared libraries
- Design production grade MLOps and ML platform capabilities
- Ensure solutions are secure scalable observable and cost effective
- Establish engineering and MLOps standards and best practices
- Implement CI/CD pipelines and automation
- Lead AWS based ML platform design decisions
- Manage model lifecycle for production ML
- Mentor engineers and improve operational practices
- Perform code and design reviews and incident analysis
- Provide technical leadership for MLOps squad
- Set up model evaluation monitoring and governance
Perks/Benefits
- Career path opportunities
- Employee well-being support
- Hybrid work flexibility
- Networking opportunities
- Training and coaching
- Wellness programs
Skills/Tech-stack
APIs | AWS | CI/CD | Cloud Architecture | Cloud Native | Cloud-native Architectures | CloudFormation | Compliance | Distributed Systems | GenAI | Governance | Incident Response | Infrastructure as Code | Java | LLMOps | MLOps | Machine Learning | ModelOps | Monitoring | Observability | Python | Reliability Engineering | Scala | Security | Terraform | “as-code”
Education
N/A
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer
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