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AI / Machine LearningRemote

MLOps & AIOps / GCP Engineer

Test Unity - Company

India, ๐Ÿ‡ฎ๐Ÿ‡ณ IndiaFull-time - Lead (7-10 years)0 applicantsCloses Jul 3, 2026

Salary

INR 720,000 - 840,000 / year

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Job description

Job details

  • Location: India
  • Work mode: Remote
  • Employment type: Full-time (Not an internship)
  • Salary: INR 720,000 - 840,000 per year

Role overview

Test Unity is hiring an experienced MLOps & AIOps / GCP Engineer with 8-9 years of experience to join their Gemini domain team in India. This remote, full-time position focuses on designing, building, and operating secure, scalable, production-grade ML and GenAI platforms on Google Cloud Platform. The role requires expertise in Python, GCP, Vertex AI, GitHub CI/CD, LangChain, and LangGraph. Work shift is 12pm to 9pm IST. Salary range is โ‚น720,000 to โ‚น840,000 INR per annum.

Job details

This is a remote, full-time position based in India. The role involves architecting MLOps pipelines, deploying generative AI models, and ensuring reliable model training, deployment, and monitoring on GCP. Candidates will work with cutting-edge AI technologies including Vertex AI, LangChain, and LangGraph frameworks. The position offers competitive compensation between โ‚น720,000 and โ‚น840,000 INR annually and requires availability during 12pm to 9pm IST shift hours.

Responsibilities

  • Design and build production-grade ML and GenAI platforms on Google Cloud Platform
  • Implement MLOps pipelines using Vertex AI, LangChain, and LangGraph frameworks
  • Deploy, monitor, and optimize machine learning models in scalable cloud environments
  • Establish CI/CD workflows for automated model training and deployment using GitHub
  • Ensure security, reliability, and performance of AI/ML infrastructure on GCP

Requirements

  • 8-9 years of experience in MLOps, AIOps, or cloud engineering roles
  • Strong expertise in Python and Google Cloud Platform services
  • Hands-on experience with Vertex AI, LangChain, and LangGraph
  • Proficiency in GitHub CI/CD pipeline design and implementation
  • Experience deploying and managing production ML and GenAI systems
  • Availability to work 12pm to 9pm IST shift hours

Benefits

  • Fully remote work arrangement
  • Competitive salary package
  • Opportunity to work with cutting-edge AI technologies

Keywords

MLOpsAIOpsGCPVertex AIPythonLangChainLangGraphGitHub CI/CDGenAIMachine Learning