AI/ML DevOps Engineer, AS
Pune - Business Bay, India
INR 2000K-2700K (estimate) Mid-level Full Time
Tasks
- Align MLOps practices with organizational goals
- Automate model packaging versioning and rollbacks
- Detect and mitigate data drift
- Develop and maintain CI CD pipelines for ML model deployment
- Enforce security best practices for models and data
- Ensure compliance with data protection standards
- Establish monitoring and logging for deployed models
- Implement autoscaling for varying workloads
- Implement data versioning and lineage tracking
- Implement version control for code and model artifacts
- Maintain documentation for MLOps processes and deployments
- Manage data pipelines and data storage for training and inference
- Manage incident management for shared AI platforms
- Monitor production AI ML models
- Optimize ML infrastructure for scalability and cost-effectiveness
- Optimize resource allocation for cost effective AI workloads
- Troubleshoot model failures latency and deployment errors
Perks/Benefits
- Accident insurance
- Best in class leave policy
- Childcare assistance reimbursement
- Comprehensive hospitalization insurance
- Employee assistance program
- Gender neutral parental leaves
- Health screening
- Industry certification sponsorship
- Term life insurance
Skills/Tech-stack
AI Pipelines | Automl | BigQuery | BigQuery ML | CI/CD | Cloud Monitoring | Cloud Storage | Cloud logging | Data Drift | Data drift monitoring | Docker | Drift monitoring | GKE | Google Cloud | IAM | Kubeflow | Kubernetes | Load balancers | MLOps | Model versioning | Python | SQL | Shell Scripting | Terraform | VPC | Vertex AI | Vertex AI pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML DevOps Engineer | DevOps Engineer | Engineer | ML DevOps Engineer | MLOps Engineer
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