Our Client's Digital Finance IT is scaling AI and agentic systems in production. We need an MLOps / Cloud Deployment Engineer to own the deployment, reliability, observability, and operational scale of these systems in a regulated enterprise setting.

This is a cloud and platform engineering role with deep MLOps/LLMOps focus, not a model-building role. You will operate the runway that ML and GenAI systems run on, not build the models themselves.

What You'll Do

Own CI/CD pipelines for ML models, RAG applications, and agentic AI systems — from experiment to production
Deploy and operate AI workloads on cloud-native ML/AI platforms — AWS Bedrock/SageMaker, Azure AI Foundry / Azure Machine Learning, or equivalent
Build and maintain observability, tracing, and monitoring for LLM and agentic systems — latency, cost, hallucination rates, tool-call success, drift detection
Implement model governance and guardrails — approval gates, kill-switches, escalation paths, audit trails
Manage infrastructure-as-code (Terraform, Bicep, or equivalent) for reproducible AI/ML environments




Design cost and performance optimization strategies — token usage tracking, caching, model routing, autoscaling, warehouse/cluster right-sizing
Own security posture — RBAC, secret management (Key Vault / Secrets Manager), prompt-injection risk mitigation, auditability for regulated pharma
Partner with data engineers, AI engineers, and Finance business stakeholders to move systems from prototype to reliable production
Implement evaluation frameworks for AI systems in production — regression testing, adversarial testing, accuracy tracking, hallucination monitoring

Requirements

Must-Have Experience

5+ years in cloud/DevOps/MLOps engineering on AWS, Azure, or GCP
Production deployment of ML or GenAI systems — CI/CD, containerization (Docker/Kubernetes), infrastructure-as-code (Terraform)
MLOps tooling — MLflow, SageMaker Pipelines, Azure ML Pipelines, or equivalent
LLM/GenAI operational experience

📌 MLOps / Cloud Deployment Engineer (Hyderabad)
🏢 Xenon Seven
📍 Hyderabad