06 Aug
|
Infosys
|
Bengaluru
SageMaker 2. MLflow 3. Kubeflow 4. Databricks 5. MLOps 6.
Model
Deployment 7.
Model
Monitoring 8.
Model
Retraining 9.
Feature
Store 10. CI/CD for ML 11.
Training
Pipelines 12.
Inference
Pipelines 13.
Drift
Detection 14. Docker 15. Kubernetes/EKS 16. Terraform 17. CloudFormation 18. AWS Lambda 19.
Python
Automation
5+ yrs DevOps/Cloud/MLOps experience; Python for scripting and automation
Robust with Jenkins, Git, Docker, EKS troubleshooting
AWS: SageMaker, Lambda, S3, ECS, IAM, RDS, infra creation
IaC: CloudFormation (CFT) and Terraform
MLOps: build/operate ML pipelines deploying to SageMaker, Databricks, or Lambda
📌 MLOps Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru