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Posted Yesterdayโ€ขBengaluru, Karnataka, India

Engineer / Sr. Engineer - Data & MLOps

SeniorOn-site (Bengaluru)Salary undisclosed
Required Skills
JavaScriptPythonJavaAWSKubernetesDockerTerraformCI/CDPyTorchTensorFlow
Job Description

๐—ง๐—ต๐—ถ๐˜€ ๐—ฟ๐—ผ๐—น๐—ฒ ๐—ถ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—ช๐—ฒ๐—ฒ๐—ธ๐—ฑ๐—ฎ๐˜†'๐˜€ ๐—ฐ๐—น๐—ถ๐—ฒ๐—ป๐˜๐˜€

๐—ฆ๐—ฎ๐—น๐—ฎ๐—ฟ๐˜† ๐—ฟ๐—ฎ๐—ป๐—ด๐—ฒ: ๐—ฅ๐˜€ ๐Ÿญ๐Ÿฐ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ - ๐—ฅ๐˜€ ๐Ÿฏ๐Ÿฎ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ (๐—ถ๐—ฒ ๐—œ๐—ก๐—ฅ ๐Ÿญ๐Ÿฐ-๐Ÿฏ๐Ÿฎ ๐—Ÿ๐—ฃ๐—”)

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 modern 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

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