DevOps & MLOps Leader
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Architect industrial grade DevOps and MLOps platforms
- Build ML training deployment monitoring retraining pipelines
- Collaborate with engineering, data science, and product teams
- Communicate technical strategy and trade offs
- Define and execute DevOps and MLOps strategy
- Design CI/CD and CI/CT pipelines
- Embed security quality and reliability into pipelines
- Ensure compliance with cybersecurity data governance and privacy
- Ensure model explainability and traceability
- Implement infrastructure-as-code
- Lead global engineering team hiring onboarding and performance management
- Operate secure reliable scalable cloud and edge platforms
- Standardize ML workflows and model governance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CloudFormation | Agile | Agile Framework | Amazon SageMaker | Automation | Azure | Azure Machine Learning | Azure Resource | Azure Resource Manager | CI CT | CI/CD | Cloud Platforms | Containers | Cybersecurity | Data Governance | DevOps | Docker | Google Cloud | Infrastructure as Code | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Observability | Privacy | Resource manager | Scaled Agile | Scaled Agile Framework | Terraform | Test automation | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
DevOps | DevOps Engineer | DevOps and MLOps Leader | Engineer | MLOps Engineer
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