Senior Machine Learning Engineer
INR 3700K-5000K (estimate) Senior-level Full Time
Tasks
- Apply security governance for model and API access
- Build model CI CD pipelines
- Build monitoring dashboards alerts SLI SLO
- Create operational runbooks and incident response
- Deploy models to secure low latency endpoints
- Design MLOps platform architecture
- Implement automated model testing
- Implement health checks failover and recovery
- Implement infrastructure as code provisioning and automation
- Implement model serving and inference orchestration
- Maintain deployment rollback and roll forward
- Manage secrets and encryption in transit and at rest
- Optimize inference performance and GPU utilization
- Package containerize and version models
- Set up observability logging metrics tracing
- Use least privilege IAM and role based access control
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS | AWS CloudFormation | AWS CodePipeline | AWS IAM | Access Control | Alerting | Amazon SageMaker | Application Load Balancer | Asynchronous processing | Authentication | Authorization | Autoscaling | Azure DevOps | Blue-Green Deployment | Blue/green | Blue/green deployments | CI/CD | Canary Release | Canary Releases | Circuit Breaker | Data Drift | Databricks | Disaster Recovery | Distributed Systems | Docker | ECS | EKS | Encryption | Event Driven | Event-driven architecture | GitHub Actions | GitLab CI | GitLab CI/CD | Health Checks | Infrastructure as Code | Jenkins | Kubernetes | Load Balancer | Load Testing | Logging | MLflow | Metrics | Model Drift | Model Serving | Monitoring | Observability | Performance optimization | Private Networking | Python | RBAC | REST APIs | Rate Limiting | Role-Based Access | Role-Based Access Control | Secrets management | Terraform | Tracing | Vector Search | “as-code”
Education
N/A
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