₹15L – ₹25L a year estimatetypical for IT Jobs in Bangalore, 286 posts
Posted 9 days ago
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Role at a glance
You will
Build and maintain CI/CD pipelines for training, testing, and deploying ML models
Containerize and deploy models (Docker, Kubernetes) to production environments
Develop and manage model serving infrastructure (REST/gRPC APIs, batch and real-time inference)
Experience
3–8 years
Job description
Role-MLOps / ML Engineer Exp-3 - 8 Yrs Location-Bangalore Description We're looking for an MLOps / ML Engineer to design, build, and maintain the infrastructure that takes machine learning models from research to production. You'll bridge data science and software engineering, ensuring models are reliable, scalable, and easy to maintain in real-world systems. Key Responsibilities
Build and maintain CI/CD pipelines for training, testing, and deploying ML models
Containerize and deploy models (Docker, Kubernetes) to production environments
Develop and manage model serving infrastructure (REST/gRPC APIs, batch and real-time inference)
Monitor deployed models for performance drift, latency, and data quality issues
Automate retraining pipelines and version control for datasets, features, and models
Collaborate with data scientists to productionize experimental models
Implement logging, alerting, and rollback strategies for model reliability
Optimize infrastructure cost and performance across GCP platforms
Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 3740 that say).
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From live job posts on CoreHRx, updated 7 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 / ML 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, 286 posts).
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