Job
Description
About the Role We’re looking for an experienced AI Developer with hands-on expertise in Large Language Models (LLMs) , Azure AI services , and end-to-end ML pipeline deployment . If you’re passionate about building scalable AI solutions, integrating document intelligence, and deploying models in production using Azure, this role is for you. 💡 Key Responsibilities Design and develop AI applications leveraging LLMs (e.g., GPT, BERT) for tasks like summarization, classification, and document understanding Implement solutions using Azure Document Intelligence to extract structured data from forms, invoices, and contracts Train, evaluate, and tune ML models using Scikit-learn, XGBoost , or PyTorch Build ML pipelines and workflows using Azure ML , MLflow , and integrate with CI/CD tools Deploy models to production using Azure ML endpoints , containers, or Azure Functions for real-time AI workflows Write clean, efficient, and scalable code in Python and manage code versioning using Git Work with structured and unstructured data from SQL/NoSQL databases and Data Lakes Ensure performance monitoring and logging for deployed models ✅ Skills & Experience Required Proven experience with LLMs and Prompt Engineering (e.g., GPT, BERT) Hands-on with Azure Document Intelligence for OCR and data extraction Solid background in ML model development, evaluation , and hyperparameter tuning Proficient in Azure ML Studio , model registry , and automated ML workflows Familiar with MLOps tools such as Azure ML pipelines, MLflow , and CI/CD practices Experience with Azure Functions for building serverless, event-driven AI apps Strong coding skills in Python ; familiarity with libraries like NumPy, Pandas, Scikit-learn, Matplotlib Working knowledge of SQL/NoSQL databases and Data Lakes Proficiency with Azure DevOps , Git version control, and testing frameworks Show more Show less