Senior MLOps Engineer
Hyderabad, Telangana, India
INR 2520K-3500K (estimate) Senior-level Full Time
Tasks
- Deploy and operate ML platforms using AWS and container orchestration
- Design build and maintain end to end ML infrastructure pipelines for training deployment and monitoring
- Develop and manage CI CD pipelines for ML model delivery
- Establish monitoring observability and alerting for drift degradation and anomalies
- Implement MLOps best practices for reproducibility governance compliance and security
- Implement and manage model registry and experiment tracking with versioning
- Integrate ML services into distributed systems
- Optimize ML workflows for performance scalability and cost
- Productionize ML models with data scientists
Perks/Benefits
- Dental insurance
- Employee assistance program
- Flex Time Off
- Health insurance
- Hybrid work schedule
- Paid parental leave
- Paid time off
- Professional development
- Vision insurance
- Winter break
Skills/Tech-stack
AWS Lambda | AWS Step Functions | Airflow | Amazon SageMaker | CI/CD | CloudFormation | Databricks | Docker | EKS | GitHub Actions | Kinesis | Kubernetes | MLOps | MLflow | Machine Learning | Model Registry | Observability | Python | SageMaker Model Registry | Step Functions | Terraform
Education
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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