Staff MLOps Engineer
Bangalore, KA, India
INR 3000K-4200K (estimate) Senior-level Full Time
Tasks
- Architect MLOps platform on AWS
- Build CI CD pipelines with version control workflows
- Deploy and manage ML models in production
- Enforce security and governance for ML systems
- Ensure observability and reliability for ML systems
- Implement ML CI CD pipelines
- Implement infrastructure-as-code
- Mentor engineers and data scientists
- Monitor model performance and data drift
- Optimize ML workloads for cost performance scalability
Perks/Benefits
Skills/Tech-stack
AWS | AWS CloudFormation | AWS CodePipeline | AWS Lambda | AWS X-Ray | Amazon EC2 | Amazon ECR | Amazon ECS | Amazon EKS | Amazon Kinesis | Amazon SageMaker | Amazon SageMaker Pipelines | Apache Kafka | Apache Spark | CloudWatch | Docker | Feature Store | GitHub Actions | GitLab CI | IAM | Jenkins | Kubernetes | MLflow | Model Registry | OpenSearch | PyTorch | Python | S3 | SageMaker Feature Store | SageMaker Model Registry | Sagemaker Pipelines | Scikit-learn | TensorFlow | Terraform | VPC | X-Ray
Education
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