1.CI/CD Pipeline Development & Management:
● Design, implement, and maintain CI/CD pipelines for applications and ML models.
● Ensure automated build, testing, and deployment processes.
2. Infrastructure Management & Automation:
● Manage cloud and on-prem infrastructure using IaC tools (e.g., Terraform,
CloudFormation).
● Automate provisioning, scaling, and configuration of systems.
3. Deployment & Release Management:
● Oversee application and model deployments across environments.
● Ensure smooth, reliable, and zero/low-downtime releases.
4. Monitoring & Performance Optimization:
● Implement monitoring, logging, and alerting systems.
● Analyze system performance and optimize reliability and scalability.
5. MLOps Pipeline Management:
● Build and manage ML pipelines for training, validation, and deployment.
● Ensure reproducibility, versioning, and lifecycle management of models.
6. Security & Compliance:




● Implement security best practices across infrastructure and pipelines.
● Ensure compliance with data security and governance standards.
7. Collaboration & Cross-Functional Support:
● Work closely with development, QA, and data science teams.
● Enable smooth integration between development and operations.
8. Incident Management & Troubleshooting:
● Identify, troubleshoot, and resolve infrastructure and deployment issues.
● Ensure quick resolution of production incidents.
9. Documentation & Knowledge Sharing:
● Maintain documentation for infrastructure, pipelines, and processes.
● Share best practices and provide technical guidance.
10. Continuous Improvement & Innovation:
● Identify areas for automation and efficiency improvements.
● Stay updated with current tools, technologies, and DevOps/MLOps trends.

📌 MLOps / DevOps Engineer (Mumbai)
🏢 MySellerCentral
📍 Mumbai