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Job description
Responsibilities : 5+ yrs DevOps/Cloud/MLOps experience; Python for scripting and automation Strong 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 Additional Responsibilities :
Technical and Professional Requirements :
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
Preferred Skills : Technology->AI-AI Engineering->MLOps,Technology->AI-Machine Learning->Databricks Machine Learning Educational Requirements : Bachelor of Engineering Service Line : Data & Analytics Unit
Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 3795 that say).
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From live job posts on CoreHRx, updated 9 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
Questions about this job
What is the salary for this MLOps Engineer job?
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹15L – ₹25L a year (typical for IT Jobs in Bangalore, 259 posts).
This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
Questions you may be asked
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