We are looking for an experienced
MLOps Engineer
to design, build, deploy, and manage enterprise-scale Machine Learning and Generative AI solutions. The ideal candidate should have robust expertise in
Python, CI/CD, Docker, Kubernetes (AKS), Azure Cloud, and MLOps platforms
to operationalize AI models in production environments.

Key Responsibilities MLOps & AI Platform Engineering
- Design, develop, and maintain end-to-end MLOps pipelines for model training, validation, deployment, monitoring, retraining, and retirement.
- Build and operate scalable AI/ML platforms across development, testing, and production environments.
- Deploy and manage production-grade Machine Learning and Generative AI applications.
- Support both batch and real-time inference workloads.
- Develop production-ready applications and automation using Python.
- Build and maintain Git-based CI/CD pipelines for automated deployments.
- Implement Infrastructure as Code (IaC) using Terraform, ARM Templates, Bicep, or CloudFormation.

Containerization & Cloud
- Containerize AI applications using Docker.




- Deploy and manage workloads on Kubernetes, preferably Azure Kubernetes Service (AKS).
- Design cloud-native solutions on Azure (preferred), AWS, or GCP.
- Implement deployment strategies such as Blue-Green, Canary, and Rolling Deployments.

Generative AI & LLMs
- Develop and deploy LLM-based applications.
- Implement Retrieval-Augmented Generation (RAG) architectures.
- Work with Prompt Engineering, Embeddings, and Vector Databases.
- Integrate AI solutions with Azure OpenAI, OpenAI, Anthropic Claude, or AWS Bedrock.
- Build Agentic AI solutions using frameworks like LangChain, LangGraph, or similar orchestration tools.

Monitoring & Operations
- Implement monitoring, logging, metrics, tracing, and alerting for AI services.
- Monitor model performance, latency, availability, and model drift.
- Provide production support and resolve deployment or infrastructure issues.

Security & Governance
- Implem

📌 MLOps Engineer_5+ years (Hyderabad)
🏢 Zorba AI
📍 Hyderabad