Senior Machine Learning Engineer
INR 3700K-5000K (estimate) Senior-level Full Time
Tasks
- Automate environment provisioning and deployments
- Build CI CD pipelines for model deployment
- Build infrastructure as code
- Create backup restore and disaster recovery procedures
- Deploy models to inference endpoints
- Design MLOps platform architecture
- Implement automated model testing
- Implement model serving for LLMs
- Implement security and governance controls
- Maintain incident response runbooks
- Manage secrets and encryption
- Optimize inference performance and scalability
- Package and containerize models
- Set up observability monitoring and alerts
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS | AWS CodePipeline | AWS IAM | AWS Lambda | Access Control | Alerting | Amazon ECS | Amazon EKS | Application Load Balancer | Asynchronous processing | Autoscaling | Blue-Green Deployment | Blue/green | CI/CD | Canary Release | Circuit Breaker | Concept drift | Data Drift | Databricks | Docker | Encryption | Encryption at rest | Encryption in Transit | Event Driven | Event-driven architecture | Feature Engineering | GitHub Actions | GitLab CI | GitLab CI/CD | Infrastructure as Code | Jenkins | Kubernetes | Load Balancer | Load Testing | Logging | MLflow | Metrics | Model Registry | Model Validation | Model versioning | Monitoring | Observability | Python | REST | REST API | Retry Policy | Role-Based Access | Role-Based Access Control | Rollback | Secrets management | Terraform | Tracing | “as-code”
Education
N/A
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