AI/ML Engineer - MLOps/SRE
IND-Tamil Nadu-Chennai-KLA, India
INR 2000K-3000K (estimate) Mid-level Full Time Found 10d ago
Tasks
- Automate quality and drift detection workflows
- Build ML platform capabilities for training and deployment
- Create CI/CD workflows for ML code
- Create documentation and mentorship
- Create standardized data and model pipelines
- Define and monitor SLIs and SLOs
- Deploy models using containers and orchestration
- Develop dashboards and alert systems
- Enhance reproducibility and governance
- Harden inference services
- Implement observability practices
- Implement security and compliance measures
- Lead incident response
- Manage model registry and metadata
- Monitor model quality and data health
- Partner with cross-functional teams
- Standardize deployment patterns
Perks/Benefits
Skills/Tech-stack
Airflow | Automated testing | Azure Machine Learning | Batch inference | CI/CD | Cloud Platforms | Containerization | Data Validation | Infrastructure as Code | Kubeflow | Kubernetes | Logging | MLflow | Machine Learning | Metrics Collection | Model Serving | Monitoring | Observability | Python | SageMaker | Security practices | Stream inference | Tracing | Version control | Vertex AI | “as-code”
Education
Roles
Language: en |
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