MLOps Engineer
Automate CI/CD and deployment for ML workloads.
Platform EngineeringBengaluru, India3–6 yearsFull-time
About this role
Automate CI/CD, deployment, and monitoring flows for ML workloads to maintain predictable releases.
Automate CI/CD and deployment for ML workloads.
Key Responsibilities
- Set up containerized training/inference jobs with reproducible configs
- Automate model promotion, approval, and rollback pipelines
- Implement monitoring for drift, accuracy, and infrastructure health
- Maintain SLA/SLO dashboards with alerting playbooks
- Collaborate with security to enforce secrets, IAM, and audit trails
Requirements & Qualifications
Required Qualifications
- 3–6 years in DevOps/SRE/MLOps roles
- Comfort with Kubernetes, Docker, CI tools, and IaC (Terraform/CDK)
- Experience integrating model registries and feature stores
- Fluent in Python/Bash scripting for automation
- Understanding of compliance requirements for AI systems
Required Skills & Technologies
KubernetesDockerTerraformCI/CDPythonMLOpsMonitoring