Platform Engineering
MLOps Engineer
Automate CI/CD and deployment for ML workloads.
Bengaluru, India
3–6 years
Full-time
Posted 03/28/2026
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
Kubernetes
Docker
Terraform
CI/CD
Python
MLOps
Monitoring
Benefits & Perks
What We Offer
We believe in taking care of our team members
Ready to Join Us?
Apply for MLOps Engineer
Fill out the form below and we'll review your application — we aim to respond within 5 business days.
Platform EngineeringBengaluru, India
MLOps Engineer
Platform Engineering
Bengaluru, India
Full-time
Key Skills
KubernetesDockerTerraformCI/CDPythonMLOpsMonitoring
Application Tips
- Keep your cover letter under 600 words
- Highlight measurable achievements
- Tailor skills to match the job description
- Upload a PDF resume for best results
What happens next?
- 1Application review (3–5 days)
- 2Technical / culture screening call
- 3Final interview round
- 4Offer & onboarding