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.

- Infrastructure Management & Automation:

● Manage cloud and on-prem infrastructure using IaC tools (e.g., Terraform,

CloudFormation).

● Automate provisioning, scaling, and configuration of systems.

- Deployment & Release Management:

● Oversee application and model deployments across environments.

● Ensure smooth, reliable, and zero/low-downtime releases.

- Monitoring & Performance Optimization:

● Implement monitoring, logging, and alerting systems.

● Analyze system performance and optimize reliability and scalability.

- MLOps Pipeline Management:

● Build and manage ML pipelines for training, validation, and deployment.

● Ensure reproducibility, versioning, and lifecycle management of models.

- Security & Compliance:





● Implement security best practices across infrastructure and pipelines.

● Ensure compliance with data security and governance standards.

- Collaboration & Cross-Functional Support:

● Work closely with development, QA, and data science teams.

● Enable smooth integration between development and operations.

- Incident Management & Troubleshooting:

● Identify, troubleshoot, and resolve infrastructure and deployment issues.

● Ensure quick resolution of production incidents.

- Documentation & Knowledge Sharing:

● Maintain documentation for infrastructure, pipelines, and processes.

● Share best practices and provide technical guidance.

- Continuous Improvement & Innovation:

● Identify areas for automation and efficiency improvements.

● Stay updated with recent tools, technologies, and DevOps/MLOps trends.

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