Technogen, Inc.
via LinkedIn
QA Engineer with Databricks and Genai
Compensation
$120K - 180K a year
Responsibilities
Validate ML models, scoring outputs, feature pipelines, and inference services with automated tests and drift monitoring for a real-time decisioning platform.
Requirements
8+ years Python and ML QA experience, 5+ years with Databricks and model serving preferred, and 5+ years using GenAI tools required.
Full Description
Hi There, I am Mahmood Bafana – Senior Talent Acquisition Specialist with Technogenic, we are looking to hire a Talented Professional with below skill set to work with one of our clients and came across your profile and wondering if you might interested or exploring the job market, if so, Please share me your resume at Bafana.m@technogeninc.com Position: Applied ML QA Engineer Location: Remote Duration: Contract POSITION OVERVIEW : • We need an Applied ML QA Engineer (Contractor) to validate ML models, scoring outputs, feature pipelines, and inference services for a real-time decisioning platform. Deliverables include automated tests, drift monitoring, consistency checks, documentation, and validation support for every model release. Required Qualifications • 8+ years of experience in Python, ML QA, drift detection, and testing ML features/pipelines • 5+ years of experience with Databricks, feature stores, and model serving is preferred • 5+ years of experience in using of GenAI tools (Cursor, Windsurf, Copilot) is required. Best Regards,
This job posting was last updated on 12/9/2025
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