Job Title

MLOps / AI Engineer

Experience: 8 10 Years

Job Summary

Looking for an experienced MLOps / AI Engineer to build, deploy, and manage enterprise AI/ML platforms and production-grade ML/LLM applications. The ideal candidate should have expertise in Python, Azure ML, Docker, Kubernetes, CI/CD, MLOps, LLMs, RAG, and cloud platforms (Azure/AWS/GCP).

Key Responsibilities
Build and maintain end-to-end MLOps pipelines for model training, deployment, monitoring, retraining, and lifecycle management.
Develop ML models using Python and Azure Machine Learning.
Deploy AI workloads using Docker and Kubernetes.
Build CI/CD pipelines and automate infrastructure using Terraform/Bicep/ARM/CloudFormation.
Develop LLM & Generative AI solutions using RAG, Prompt Engineering, Embeddings, Vector Databases, and Agentic AI.
Integrate with Azure OpenAI, OpenAI, Anthropic Claude, or AWS Bedrock.
Monitor model performance, drift, logging, tracing, and production health.
Implement security, IAM, secrets management,



encryption, and governance.
Provide production support and incident resolution.

Mandatory Skills
8 10 years of MLOps / AI Engineering experience.
Python & Linux.
Azure ML / AWS / GCP.
Docker & Kubernetes.
CI/CD (GitHub Actions, Azure DevOps, Jenkins).
Terraform / ARM / Bicep / CloudFormation.
MLflow / Kubeflow / SageMaker / Azure ML.
LLMs, RAG, Prompt Engineering, Embeddings, Vector Databases.
Azure OpenAI / OpenAI / Anthropic / AWS Bedrock.
Monitoring, Model Drift, Observability.

Positive-to-Have Skills
Agentic AI Frameworks.
MLflow / Kubeflow.
Prometheus, Grafana, CloudWatch, Azure Monitor.
ITIL / Production Support.
High Availability AI Platforms.

Education
Bachelor's or Master's degree in Computer Science, AI, Data Science, Information Technology, or related field.

📌 Mlops / Ai Engineer Hyderabad (India)
🏢 Vmc soft Technologies
📍 India