AI Platform Engineer

Job Description

AI Platform Engineer (3–5 years)

Role Summary

We are looking for an AI Platform Engineer to build and scale the core platform that supports traditional ML models as well as modern LLM and generative AI workloads. This role focuses on production-grade MLOps, model lifecycle management, platform reliability, security, and self-service enablement for data scientists and engineering teams.

Key Responsibilities

1. Platform Engineering

· Design and operate a scalable AI/ML platform using Kubernetes, containers, and infra-as-code.

· Build reusable frameworks for model training, fine-tuning, batch and real-time inference, and RAG pipelines.

· Implement multi-tenant isolation, quotas, and cost-tracking.

2. MLOps & Model Lifecycle Automation

· Develop CI/CD/CT pipelines for models, prompts, and data.

· Manage model registry, feature store, lineage, and experiment tracking.

· E...