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Azure AI Developer

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Remote

Azure AI Developer

Valam Solutions

Azure AI Developer

Skills

SQL QueriesDockerPythonData ScienceMicroservicesMicrosoft Azure Cosmos DBGitMachine LearningAIAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Remote

Published on:

21 September 2026

What they need


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.

Skills: ml,python,machine learning,azure

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