Location: Bengaluru
Job Title: Senior Engineer
Budget: Upto INR 90 lacs (Fixed) + (Variable), based on experience and fit
Industry: B2B SaaS Product Company (Prior experience with IT Product company is a must)

About the Role
We are looking for a hands-on Senior MLOps / LLMOps Engineer with 8 to 12 years of experience to help operationalize Machine Learning and Generative AI capabilities across enterprise products and platforms.

This role is focused on MLOps and LLMOps, including model lifecycle management, deployment automation, prompt and model governance, evaluation pipelines, observability, monitoring, controlled rollout, release governance, and production support.

You will help establish the operational foundation that enables AI Engineers, Data Scientists, Platform Teams, and Product Engineering teams to deploy, monitor, evaluate, govern, and support AI/ML and LLM-powered capabilities in production through secure, repeatable, and auditable operational practices.

The ideal candidate should have solid experience with Cloud Engineering, DevOps, MLOps, Azure Machine Learning,



MLflow, Azure OpenAI, CI/CD automation, AI governance, monitoring, and production support, along with programming experience in Python and/or .NET/C#.

Key Responsibilities:

ML Ops Engineering:
Build and maintain ML Ops pipelines for model packaging, validation, registration, deployment, monitoring, rollback, and lifecycle management.
Standardize model tracking, versioning, approval workflows, promotion gates, release evidence, and lifecycle governance using Azure Machine Learning, MLflow, or similar platforms.
Support deployment of model endpoints, inference services, batch scoring jobs, and AI/ML service artifacts across environments.
Create repeatable deployment patterns for moving models from experimentation to production.
Implement CI/CD and release automation for AI/ML workloads using Azure DevOps, GitHub Actions, or similar tools.
Support controlled promotion of models across Deve

📌 Senior Engineer ML Ops (Bengaluru)
🏢 Crystal Peak
📍 Bengaluru