We are seeking an experienced MLOps Engineer with strong expertise in deploying, managing, and optimizing machine learning workloads in production environments. This role is primarily focused on MLOps (60%), supported by AWS Cloud (25%) and DevOps (15%) capabilities. The ideal candidate will have hands-on ownership of the end-to-end ML lifecycle, including model training, deployment, monitoring, automation, performance optimization, and retraining. Strong experience with AWS services, CI/CD pipelines, containerization, infrastructure automation, and production-grade ML platforms is essential. This is not a generic DevOps role; candidates must demonstrate proven experience in operationalizing and maintaining ML models at scale in cloud environments.
1. 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
Source: Infosys careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More
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