AI / MLOps PLATFORM ENGINEER

Vrinda International; Bengaluru; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Vrinda International is seeking an experienced AI / MLOps Platform Engineer to design, build, operate, and support enterprise-grade AI platforms for production workloads. The role is onsite in Bengaluru and requires strong expertise in ML lifecycle automation and scalable infrastructure.

You will lead deployment, monitoring, governance, and enable enterprise GenAI adoption. Collaboration with cross-functional teams and adherence to reliability and cost optimization are essential.

Qualifications

• Experience with MLflow, Kubeflow or Argo Workflows.
• Strong CI/CD and end-to-end ML lifecycle automation.
• Proficiency with Terraform or Bicep and infrastructure as code.
• Familiarity with Agentic AI tools such as LangGraph, CrewAI, AutoGen or Semantic Kernel.
• Knowledge of Generative AI, LLMOps, Retrieval-Augmented Generation and vector databases.
• Experience with hallucination monitoring and AI quality evaluation.

Responsibilities

• Build scalable, secure and highly available AI platforms.
• Automate AI/ML deployment, monitoring and governance.
• Enable enterprise GenAI and Agentic AI adoption.
• Drive reliability, observability and cloud cost optimization.

Skills

MLflow/Kubeflow/ArgoWorkflows

CI/CD/ML lifecycle

Terraform/Bicep/IaC

Agentic AI tools

Generative AI/LLMOps/RAG

AI Quality/Monitoring

Job description

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Job Description

HIRING | AI / MLOps PLATFORM ENGINEER

Work Mode: Onsite

Working Hours: 8:00 AM – 5:00 PM IST

Experience: 5+ Years

ROLE OVERVIEW

We are looking for an experienced AI / MLOps Platform Engineer to build, operate and support enterprise-grade AI platforms for production and mission-critical workloads.

MUST-HAVE SKILLS

MLflow / Kubeflow / Argo Workflows

CI/CD, Continuous Training & ML lifecycle automation

Terraform / Bicep & Infrastructure as Code

Agentic AI: LangGraph / CrewAI / AutoGen / Semantic Kernel

Generative AI, LLMOps, RAG & Vector Databases

Hallucination Monitoring & AI Quality Evaluation

NICE TO HAVE

AI FinOps & GPU/LLM Cost Optimization

SLOs, SLIs, Error Budgets & Self-Healing Automation

KEY RESPONSIBILITIES

• Build scalable, secure and highly available AI platforms
• Automate AI/ML deployment, monitoring and governance
• Enable enterprise GenAI & Agentic AI adoption
• Drive reliability, observability and cloud cost optimization