Software Engineer II, MLOps
Tasks
- Build CI/CD pipelines for ML models
- Collaborate with data science teams for production readiness
- Deploy and optimize ML workloads on cloud services
- Design cloud infrastructure for ML model deployment
- Develop APIs and microservices for real-time inference
- Monitor ML models in production
- Recommend improvements for ML operations efficiency reliability scalability
- Troubleshoot model deployment issues in production
Perks/Benefits
Skills/Tech-stack
APIs | AWS Lambda | AWS SageMaker | Amazon ECS | CI/CD | Cloud Computing | Java | Machine Learning | Microservices | Model Monitoring | Python | Real Time | Real-time Inference
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Engineer | Engineer II | MLOps Engineer | Software Engineer | Software Engineer II
Regions
Countries
States
Cities
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