AI Platform Engineer (Enterprise AI Infrastructure)

Posted 12 Hours Ago
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Mumbai, Maharashtra, IND
In-Office
2M-2M Annually
Expert/Leader
HR Tech • Information Technology • Professional Services
The Role
Build and operate enterprise AI infrastructure for model training, inference, and MLOps. Architect scalable, secure Kubernetes and cloud-native platforms, own system reliability and security, implement CI/CD and observability, optimize AI workloads, and collaborate with AI and product teams to productionize models. The role also drives platform governance, compliance, and infrastructure best practices.
Summary Generated by Built In


AI Platform Engineer (Enterprise AI Infrastructure)

Experience: 8–12 Years

Location: Mumbai

Work Mode: Hybrid (3 days/week WFO mandatory)

Engagement: 12 Months C2H

Budget: 22 LPA

Joining: Immediate joiners only


Role Overview

We are seeking a Staff-Level AI Platform Engineer to build and operate enterprise-grade AI infrastructure for production systems. This role focuses on architecting and managing scalable AI platforms across training, inference, and MLOps environments.


The ideal candidate must have deep experience in Kubernetes, cloud-native architectures, CI/CD pipelines, and production AI system reliability.


Key Responsibilities
  • Architect and manage AI infrastructure supporting model training and inference workloads.

  • Build scalable and secure AI platforms for enterprise-grade deployments.

  • Own reliability, availability, scalability, and security of AI systems.

  • Design and implement MLOps pipelines and CI/CD workflows.

  • Optimize Kubernetes-based deployments for AI workloads.

  • Collaborate with AI engineers and product teams to productionize AI models.

  • Implement monitoring, logging, and observability frameworks.

  • Drive platform-level governance, compliance, and infrastructure best practices.

Required Skills

✔ 8–12+ years building and operating enterprise-grade platforms

✔ Strong experience in production AI infrastructure

✔ Deep expertise in Kubernetes

✔ Strong cloud experience (AWS/Azure/GCP)

✔ CI/CD and DevOps practices

✔ Strong Go (preferred) or Python

✔ Experience working with AI coding assistants


Preferred
  • Experience managing distributed AI workloads

  • Experience in large-scale MLOps environments

  • Exposure to AI governance and model lifecycle management



Skills Required

  • 8-12+ years building and operating enterprise-grade platforms
  • Strong experience in production AI infrastructure
  • Deep expertise in Kubernetes
  • Strong experience with AWS, Azure, or GCP
  • Experience with CI/CD and DevOps practices
  • Strong Go skills, or Python
  • Experience working with AI coding assistants
  • Experience managing distributed AI workloads
  • Experience in large-scale MLOps environments
  • Exposure to AI governance and model lifecycle management
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The Company
76 Employees
Year Founded: 2010

What We Do

Talpro India Private Limited is a technology-driven recruitment and staffing company serving businesses across industries. It specializes in sourcing, vetting, and hiring top-tier technology talent, while providing innovative, sustainable, and cost-effective recruitment solutions. The company develops comprehensive hiring strategies intended to meet immediate recruitment demands and support longer-term workforce needs, acting as a human-resources services provider in India for employers.

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