Machine Learning Engineer - 5
Bangalore, India
R
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Build automated QA pipelines
- Containerize ML pipelines
- Coordinate model registries and artifacts
- Deploy ML models
- Develop CI CD orchestration workflows
- Ensure model reproducibility
- Ensure system reliability
- Implement access controls
- Implement model testing and validation
- Implement rollback mechanisms
- Improve team processes through documentation
- Maintain audit logs
- Manage model deployments
- Manage model versioning
- Monitor concept drift
- Monitor data drift
- Monitor model performance
- Refactor model code
- Run A/B testing
- Track data lineage
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS SageMaker | Airflow | Argo Workflows | Azure Machine Learning | CircleCI | CloudFormation | CloudWatch | Databricks Feature Store | Datadog | Docker | ELK | Feast | Feature Store | GitHub Actions | GitLab CI | Google Vertex | Google Vertex AI | Grafana | Keras | Kubeflow | Kubernetes | MLflow | Machine Learning | OpenShift | Prometheus | PyTorch | Python | Scikit-learn | Tecton | TensorFlow | Terraform | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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