MLOps Engineer
IND - Technical Center India, Bangalore
INR 1800K-2140K (estimate) Mid-level Full Time
Tasks
- Build and maintain ML pipelines with Apache Airflow
- Build and operate MLOps platforms on AWS
- Ensure reproducible traceable and auditable ML workflows
- Implement and maintain highly available training and deployment environments
- Maintain infrastructure standards for compute storage networking and security
- Operate distributed multi GPU training setups
- Support CI CD pipelines for ML code models and infrastructure
- Troubleshoot and resolve platform level issues
- Use MLflow for experiment tracking model versioning and lifecycle management
Perks/Benefits
- Accident insurance
- Continuing education support
- Employee assistance program
- Fitness club access
- Flexible working hours
- Food and beverage cards
- Health insurance
- Hybrid working hours
- Life and accident insurance
- Life insurance
- On site childcare facility
- Well-being program
Skills/Tech-stack
AWS | Amazon EKS | Apache Airflow | CI/CD | Distributed Training | GitHub | Infrastructure as Code | Kubernetes | MLflow | Multi-GPU | Python | Ray | Terraform | “as-code”
Education
N/A
Roles
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