Vacancy description
Azure AI Developer in Chennai, भारत
Valam Solutions
- RemoteWork from anywhere
- ContractFixed-term or freelance
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.