AI & Data Platform Engineer

You are an AI-focused Data Platform Engineer responsible for building intelligent systems powered by modern data platforms. Your role involves developing AI-driven applications, including machine learning and Generative AI solutions, while utilizing scalable data architectures like Microsoft Fabric. Key Responsibilities: - Design and develop AI-powered applications, including LLM-based and Generative AI solutions - Build and manage end-to-end ML pipelines, from data ingestion to model deployment - Implement RAG (Retrieval-Augmented Generation) architectures and intelligent data retrieval systems - Develop, fine-tune, and optimize machine learning and deep learning models - Integrate AI solutions into enterprise systems via APIs and microservices - Work with vector databases, embeddings, and semantic search frameworks - Build scalable data pipelines to support AI and analytics workloads - Deploy, monitor, and optimize models using MLOps best practices Qualifications Required: - Strong programming skills in Python and SQL - Hands-on experience with LLMs, Generative AI frameworks, or AI APIs (e.g., OpenAI, Azure OpenAI) - Experience building RAG pipelines, embeddings, and vector search systems - Experience with ML frameworks (TensorFlow, PyTorch, or Scikit-learn) - Familiarity with Microsoft Fabric, Azure AI, or similar modern data platforms You are an AI-focused Data Platform Engineer responsible for building intelligent systems powered by modern data platforms. Your role involves developing AI-driven applications, including machine learning and Generative AI solutions, while utilizing scalable data architectures like Microsoft Fabric. Key Responsibilities: - Design and develop AI-powered applications, including LLM-based and Generative AI solutions - Build and manage end-to-end ML pipelines, from data ingestion to model deployment - Implement RAG (Retrieval-Augmented Generation) architectures and intelligent data retrieval systems - Develop, fine-tune, and optimize machine learning and deep learning models - Integrate AI solutions into enterprise systems via APIs and microservices - Work with vector databases, embeddings, and semantic search frameworks - Build scalable data pipelines to support AI and analytics workloads - Deploy, monitor, and optimize models using MLOps best practices Qualifications Required: - Strong programming skills in Python and SQL - Hands-on experience with LLMs, Generative AI frameworks, or AI APIs (e.g., OpenAI, Azure OpenAI) - Experience building RAG pipelines, embeddings, and vector search systems - Experience with ML frameworks (TensorFlow, PyTorch, or Scikit-learn) - Familiarity with Microsoft Fabric, Azure AI, or similar modern data platforms