Azure AI Developer in Chennai, भारत

Position:  AI Developer – Azure / Generative AI

Location: Chennai, India ( Remote work acceptable)

Experience: 5–7 Years

Engagement: 3 Months Contract – Possible Extension

Job Summary

We are looking for an experienced AI Developer with 5–7 years of hands-on experience in Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Python, and Microsoft Azure AI services .

The ideal candidate will have strong experience in developing and deploying AI/ML solutions using GPT/BERT, Prompt Engineering, Azure AI Document Intelligence, Azure Machine Learning, MLOps, Azure Functions, and Azure DevOps .

The candidate will be responsible for designing, developing, integrating, deploying, and maintaining AI-powered applications and services in a cloud environment.

Key Responsibilities

• Design and develop AI and Generative AI solutions using Large Language Models such as GPT and BERT.

• Develop and optimize prompts for LLM-based applications to improve accuracy, relevance, and consistency.

• Build document-processing solutions using Azure AI Document Intelligence .

• Develop, train, deploy, and monitor machine learning models using Azure Machine Learning .

• Implement MLOps practices for model lifecycle management, deployment, monitoring, and version control.

• Develop scalable backend services and APIs using Python .

• Build and deploy serverless applications using Azure Functions .

• Design and implement cloud-based/serverless architectures for AI applications.

• Work with SQL and NoSQL databases for data storage, retrieval, and integration.

• Develop and maintain CI/CD pipelines using Azure DevOps.

• Automate application and AI/ML model deployment across development, testing, and production environments.

• Integrate AI/ML solutions with Azure cloud services and enterprise applications.

• Troubleshoot application, model, deployment, and integration issues.

• Follow best practices for security, scalability, performance, monitoring, and maintainability .

• Collaborate with developers, data scientists, architects, and business stakeholders to deliver AI solutions.

Required Technical SkillsArtificial Intelligence / Generative AI

• Strong understanding of Large Language Models (LLMs) .

• Hands-on experience with GPT, BERT, or similar language models .

• Strong knowledge of Prompt Engineering .

• Experience developing or integrating Generative AI applications .

• Understanding of AI/ML concepts and model lifecycle.

Microsoft Azure

• Azure AI Document Intelligence

• Azure Machine Learning

• Azure Functions

• Azure cloud services and serverless architecture

• Experience integrating Azure AI services into applications.

Python

• Strong hands-on experience with Python development .

• Experience developing APIs, backend services, automation scripts, or AI/ML applications using Python.

• Knowledge of commonly used Python libraries/frameworks for AI/ML is preferred.

Machine Learning & MLOps

• Experience with Azure Machine Learning .

• Understanding of MLOps practices and ML lifecycle management .

• Experience with model deployment, monitoring, versioning, and automation.

• Understanding of ML/AI model development and productionization.

Database

• Experience with SQL databases such as Azure SQL/SQL Server.

• Experience with NoSQL databases , preferably Azure Cosmos DB or similar technologies.

• Ability to integrate AI applications with databases and data services.

DevOps & CI/CD

• Hands-on experience with Azure DevOps .

• Experience creating and managing CI/CD pipelines .

• Knowledge of source control, automated builds, testing, and deployment.

• Experience automating deployment of applications and/or ML models.

Preferred Skills

• Experience with Azure OpenAI Service .

• Experience building RAG (Retrieval-Augmented Generation) applications.

• Knowledge of vector databases and embeddings.

• Experience with REST APIs and microservices.

• Knowledge of Docker/containerization.

• Understanding of cloud security and Azure identity/access management.

• Experience working in Agile/Scrum environments.

Education

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering , or a related field.

• Equivalent practical experience may also be considered.