???? ???? ?? ??? ??? ?? ??? ???????'? ???????

?????? ?????: ?? ??????? - ?? ??????? (?? ??? ??-?? ???)

Experience: 2+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for a technically strong DataOps / MLOps Engineer to build, deploy, operate, and scale contemporary data, machine learning, and Generative AI infrastructure in enterprise cloud environments.

The role focuses on creating reliable and automated engineering pipelines across DataOps, MLOps, LLMOps, and AI platforms, with strong emphasis on Databricks and AWS. The ideal candidate will have hands-on experience with cloud data platforms, CI/CD automation, model deployment, observability, infrastructure management, and production operations.

Requirements

KEY RESPONSIBILITIES
- Design, build, and maintain scalable DataOps, MLOps, and LLMOps pipelines for data, ML, and Generative AI workloads.
- Automate data provisioning, model deployment, model evaluation, monitoring, and enterprise workflow execution.
- Implement and maintain robust CI/CD pipelines for data pipelines, ML models,



containerised services, and AI applications.
- Manage, configure, optimise, and scale Databricks workspaces, clusters, jobs, and enterprise data-processing environments.
- Collaborate with Data Engineers, ML Engineers, Software Engineers, and Product teams to deploy data pipelines, feature stores, ML models, and serving systems into production.
- Implement proactive monitoring, event instrumentation, alerting, and self-healing mechanisms for data and model quality issues.
- Support incident response, production troubleshooting, infrastructure upgrades, capacity planning, and cloud resource optimisation.
- Work with DevOps, SRE, IT, and Security teams to implement governance, data lineage, compliance, security, and enterprise deployment standards.
- Monitor and troubleshoot distributed data pipelines, ETL workflows, model-serving systems, and production ML infrastructure.
- Build and maintain observability

📌 Engineer / Sr. Engineer - Data & MLOps (Bengaluru)
🏢 Weekday AI
📍 Bengaluru