We are looking for an experienced AI / MLOps Platform Engineer with proven expertise in delivering, operating, and supporting enterprise AI platforms for production and mission-critical workloads.

The ideal candidate will have strong hands-on experience across ML Engineering, Generative AI, Agentic AI, AIOps, MLOps, and Platform Engineering, along with experience integrating leading AI providers including OpenAI, Azure OpenAI, Google Gemini, Anthropic, AWS Bedrock, and open-source models.

Experience in AI FinOps management and multi-cloud Site Reliability Engineering (SRE) will be an added advantage.

Requirements

. AIOps / MLOps & Platform Engineering

• Expertise in building and operating production-grade AIOps and MLOps platforms.

• Hands-on experience with Vertex AI, Azure ML, SageMaker, or equivalent AI/ML platforms.

• Robust experience implementing CI/CD and CT (Continuous Training) pipelines for ML models.

• Experience with ML lifecycle automation, including: feature stores, model registry, experiment tracking, deployment automation.

• Experience with Kubeflow, MLflow,



Argo Workflows, or similar frameworks.

• Expertise in Infrastructure as Code (IaC) using: Terraform, Bicep, Cloud Deployment Manager.

• Experience monitoring AI services and model health.

• Strong understanding of drift detection, model performance monitoring, and alerting.

• Experience with LLM quality evaluation and hallucination monitoring.

• Solid Kubernetes administration and platform engineering experience across: AKS, GKE, EKS.

• Experience with: GitHub Actions, Azure DevOps, GitOps implementation.

• Strong understanding of enterprise networking, identity integration, and platform automation.

• Experience supporting highly available production AI platforms.

2. Agentic AI Engineering

• Demonstrated experience designing and implementing autonomous AI agents.

• Hands-on experience with multi-agent orchestration frameworks, such as: LangGraph, CrewAI, AutoGen, Semantic Ker

📌 AI / MLOps Platform Engineer (Bengaluru)
🏢 Vriba
📍 Bengaluru