| Organization Name |
Cognizant Technology Solutions |
| Vacancies |
Not Specified |
| Job Description |
Recruitment for MLOPS Engineer. The role involves designing and implementing MLOps solutions, building deployment, monitoring and retraining pipelines, managing ML lifecycle automation, implementing CI/CD for machine learning, working with Kubernetes, Kubeflow, MLflow, AWS SageMaker, Azure ML, GCP Vertex AI, Terraform, and collaborating with Data Science teams to operationalize AI/ML models. |
| Place of Posting |
Gurgaon, Haryana, India (Hybrid) (Pan India project allocation possible). |
| Educational Qualification |
- Bachelor's or Master's Degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field with 6–15 years of experience in MLOps, Kubernetes, Python, MLflow/Kubeflow, CI/CD, cloud platforms (AWS/Azure/GCP), and machine learning model deployment.
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| Selection Process |
- Resume Screening, Technical Interview(s), Coding/Technical Assessment, HR Interview, and Document Verification.
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| Application Fee |
|
| Job Type |
Private Jobs |
| Age Limits |
No specific age limit mentioned. |
| From Date |
2026-07-23 |
| To Date |
not specified |
| Official Website |
https://careers.cognizant.com |
| How to Apply |
- 1. Step 1: Visit the Cognizant Careers website: https://careers.cognizant.com
- 2. Step 2: Search for Job ID "00069050552" or "MLOPS Engineer".
- 3. Step 3: Sign in or create a Cognizant Careers account.
- 4. Step 4: Complete the online application form.
- 5. Step 5: Upload your updated resume.
- 6. Step 6: Review all the entered details.
- 7. Step 7: Submit the application.
- 8. Step 8: Wait for Cognizant to contact you if shortlisted.
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