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 workplace.

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

📌 MLOps / Cloud Deployment Engineer (Hyderabad)
🏢 Xenon7
📍 Hyderabad