Artificial Intelligence Developer

Job Overview

Key Responsibilities

• Work with business and technical teams to translate requirements into scalable AI/ML solutions.
• Design, develop, test, and deploy applications aligned with enterprise architecture frameworks.
• Develop and fine-tune Large Language Models (LLMs) and apply prompt engineering techniques for tasks such as summarization, text classification, and document understanding.
• Implement Azure AI Document Intelligence for extracting structured data from invoices, forms, and contracts.
• Build, optimize, and monitor ML models and pipelines using Azure ML, MLflow, and MLOps practices.
• Deploy models using Azure ML endpoints, containers, or serverless (Azure Functions) for real-time AI workflows.
• Develop and manage event-driven AI solutions leveraging Azure Functions and cognitive services.
• Write clean, efficient, and optimized code in Python (with libraries such as NumPy, Pandas, Scikit-learn, Matplotlib).
• Integrate AI workflows with databases and data lakes (SQL/NoSQL).
• Use Azure DevOps & Git for version control, CI/CD, and workflow automation.
• Document user stories, technical specifications, test cases, and results as part of Agile delivery.
  

Required Skills & Experience

• Large Language Models (LLMs) & Prompt Engineering (GPT, BERT, etc.)
• Azure AI & MLOps (Azure ML, MLflow, CI/CD pipelines)
• Python (NumPy, Pandas, Scikit-learn, PyTorch, XGBoost)
• Azure Document Intelligence for document processing
• Model development, evaluation, and hyperparameter tuning
• Azure Functions & Serverless AI workflow
• Strong SQL / NoSQL and data lake integration experience
• Experience with Azure DevOps, Git, and automated deployment pipelines
• 5- 7 years of relevant experience in AI/ML development and deployment