Senior MLOps Engineer (Gulbarga)
Senior MLOps Engineer (Gulbarga)
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Gulbarga, India
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Posted: less than a week ago
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Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior MLOps Engineer in India.
This role is designed for an experienced MLOps professional who will help operationalize and scale machine learning systems powering dynamic pricing and highly personalized user experiences. You will work at the intersection of ML engineering and production infrastructure, building resilient systems that ensure models remain accurate, reliable, and continuously improved in real time. The position focuses heavily on designing end-to-end ML pipelines, from training and deployment to monitoring and retraining. You will contribute to advanced ML capabilities such as drift detection, model calibration, and reinforcement learning orchestration. Working in a rapid-paced, data-driven environment, you will collaborate closely with ML scientists and engineers to bring complex models into production. Your work will directly impact business performance through scalable, low-latency ML systems built on modern cloud and big data technologies.
Accountabilities
You will be responsible for building and maintaining scalable ML infrastructure and ensuring the reliability of production ML systems. This includes designing robust pipelines and enabling seamless model deployment and monitoring.
- Build and maintain ML infrastructure on Databricks, leveraging Unity Catalog and feature stores for scalable model development and deployment.
- Design and implement drift detection frameworks to continuously monitor data and model performance in production.
- Develop model calibration and versioning systems to ensure reproducibility, traceability, and governance across ML lifecycle stages.
- Architect low-latency reinforcement learning orchestration pipelines, including contextual bandits and Q-learning models for real-time decisioning.
- Create automated training, validation, and retraining pipelines to support efficient experimentation and continuous model impro Apply on Kit Job: kitjob.in/job/4n2s6l
This role is designed for an experienced MLOps professional who will help operationalize and scale machine learning systems powering dynamic pricing and highly personalized user experiences. You will work at the intersection of ML engineering and production infrastructure, building resilient systems that ensure models remain accurate, reliable, and continuously improved in real time. The position focuses heavily on designing end-to-end ML pipelines, from training and deployment to monitoring and retraining. You will contribute to advanced ML capabilities such as drift detection, model calibration, and reinforcement learning orchestration. Working in a rapid-paced, data-driven environment, you will collaborate closely with ML scientists and engineers to bring complex models into production. Your work will directly impact business performance through scalable, low-latency ML systems built on modern cloud and big data technologies.
Accountabilities
You will be responsible for building and maintaining scalable ML infrastructure and ensuring the reliability of production ML systems. This includes designing robust pipelines and enabling seamless model deployment and monitoring.
- Build and maintain ML infrastructure on Databricks, leveraging Unity Catalog and feature stores for scalable model development and deployment.
- Design and implement drift detection frameworks to continuously monitor data and model performance in production.
- Develop model calibration and versioning systems to ensure reproducibility, traceability, and governance across ML lifecycle stages.
- Architect low-latency reinforcement learning orchestration pipelines, including contextual bandits and Q-learning models for real-time decisioning.
- Create automated training, validation, and retraining pipelines to support efficient experimentation and continuous model impro Apply on Kit Job: kitjob.in/job/4n2s6l
Highlights
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Company nameJobgether
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Job positionSenior MLOps Engineer (Gulbarga)
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