AI / MLOps PLATFORM ENGINEER

Posted 7 Days Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
3M-3M Annually
Senior level
Edtech • HR Tech • Information Technology • Professional Services
The Role
Build, operate, and support secure, scalable enterprise AI platforms for production workloads. Automate machine learning deployment, monitoring, governance, continuous training, and lifecycle management. Enable generative and agentic AI adoption while improving platform reliability, observability, availability, and cloud cost efficiency. The role requires expertise across cloud ML platforms, Kubernetes, infrastructure as code, CI/CD, GitOps, model monitoring, LLM evaluation, and AI quality management.
Summary Generated by Built In

HIRING | AI / MLOps PLATFORM ENGINEER 

 Role: AI / MLOps Platform Engineer
 Location: Bangalore, India
 Work Mode: Onsite
 Working Hours: 8:00 AM – 5:00 PM IST
 Experience: 5+ Years
 CTC: ₹25–28 LPA
 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

 AIOps, MLOps & AI Platform Engineering
 Vertex AI / Azure ML / AWS SageMaker
 MLflow / Kubeflow / Argo Workflows
 CI/CD, Continuous Training & ML lifecycle automation
 Terraform / Bicep & Infrastructure as Code
 Kubernetes: AKS / GKE / EKS
 GitHub Actions, Azure DevOps & GitOps
 Agentic AI: LangGraph / CrewAI / AutoGen / Semantic Kernel
 Generative AI, LLMOps, RAG & Vector Databases
 OpenAI / Azure OpenAI / Gemini / Anthropic / AWS Bedrock
 LangChain / LlamaIndex
 AI/Model Monitoring, Drift Detection & LLM Evaluation
 Hallucination Monitoring & AI Quality Evaluation

 NICE TO HAVE

 AI FinOps & GPU/LLM Cost Optimization
 Multi-Cloud SRE: Azure, AWS & GCP
 Prometheus, Grafana, Datadog
 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


Skills Required

  • 5+ years of professional experience
  • Experience with AIOps, MLOps, and AI platform engineering
  • Experience with Vertex AI, Azure ML, or AWS SageMaker
  • Experience with MLflow, Kubeflow, or Argo Workflows
  • Experience with CI/CD, continuous training, and ML lifecycle automation
  • Experience with Terraform, Bicep, and infrastructure as code
  • Experience with Kubernetes, including AKS, GKE, or EKS
  • Experience with GitHub Actions, Azure DevOps, and GitOps
  • Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or Semantic Kernel
  • Experience with generative AI, LLMOps, RAG, and vector databases
  • Experience with OpenAI, Azure OpenAI, Gemini, Anthropic, or AWS Bedrock
  • Experience with LangChain or LlamaIndex
  • Experience with AI/model monitoring, drift detection, and LLM evaluation
  • Experience with hallucination monitoring and AI quality evaluation
  • Experience with AI FinOps and GPU/LLM cost optimization
  • Experience with multi-cloud SRE across Azure, AWS, and GCP
  • Experience with Prometheus, Grafana, or Datadog
  • Experience with SLOs, SLIs, error budgets, and self-healing automation
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The Company
10 Employees
Year Founded: 2018

What We Do

Vrinda International is a Chandigarh-based recruitment and education consultancy connecting job seekers and employers through domestic and international IT and non-IT hiring. It also supports students with overseas university admissions, visa applications, education guidance, and test preparation for IELTS, PTE, and other programs. Its tech-enabled talent portal provides job matching and career pathways across India and global markets, alongside staffing partnerships.

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