Job description
Job Title: Data Platform Engineer (MLOps Engineer)
Location: Madhapur, HYD
Industry: IT Services & Consulting
Employment Type: Full-Time
Role Category: DBA / Data Warehousing
Role Overview
We are seeking a Data Platform Engineer to support ML platform operations and incident management within our client’s Data & Analytics organization. This role focuses on the day-to-day support, maintenance, and operational improvement of ML and data platform services—primarily Dataiku DSS, MLOps pipelines, and ServiceNow-driven incident workflows.
Key Responsibilities
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Dataiku DSS Administration — Support and maintain the Dataiku DSS ML platform, including user access, project environments, compute resource configuration, and integration with upstream/downstream data services.
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MLOps Pipeline Support — Assist in maintaining CI/CD pipelines for model deployment and monitoring, including Docker image builds, environment management, and pipeline troubleshooting.
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Incident Management via ServiceNow — Triage and resolve L2 tickets (L2_Data_Platform, L2_Data_Engineering) covering platform access issues, connectivity failures, vulnerability remediation, and infrastructure scaling requests.
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Platform Integrations — Support connections between Dataiku and other platform services including Snowflake, Azure infrastructure, and the DataPortal API.
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Documentation — Update runbooks, incident logs, and operational documentation as part of ongoing support activities.
Required Skills
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3+ years of experience in platform engineering, ML engineering, or a related infrastructure role
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Hands-on experience with Dataiku DSS (project management, compute environments, integrations)
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Familiarity with MLOps concepts and tooling (CI/CD for models, environment management, monitoring)
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Experience working within ServiceNow for incident triage and resolution (L2 support experience preferred)
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Scripting skills in Python or Bash for automation and operational tasks
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Strong troubleshooting and communication skills
Preferred Skills
