Platform Engineering
MLOps Engineer
Automate CI/CD and deployment for ML workloads.
Bengaluru, India
3–6 years
Full-time
Posted 02/25/2026
KubernetesDockerTerraformCI/CDPythonMLOps+1 more
About the Role
What You'll Do
Automate CI/CD, deployment, and monitoring flows for ML workloads to maintain predictable releases.
Key Responsibilities
Your Impact
Here's what you'll be responsible for in this role
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
What We're Looking For
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
Benefits & Perks
What We Offer
We believe in taking care of our team members
Ready to Join Us?
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