AI/ML Engineer

Job Summary For AI/ML Engineer

• Design, develop, and implement AI/ML solutions utilizing Python, PySpark, and SQL in Azure environments.
• Work hands-on with Generative AI models, including Claude and Gemini, and build intelligent chatbots, agents, and agentic workflows.
• Develop Retrieval-Augmented Generation (RAG) solutions; integrate Large Language Models (LLMs) with enterprise data.
• Extract, transform, and structure information from unstructured documents (e.g., PDFs) into usable data formats.
• Implement vector search, embeddings, and semantic search capabilities.
• Deploy machine learning models and AI-driven applications at scale.
• Collaborate with business and technical teams to identify and deliver AI use cases.
• Utilize Azure services to develop scalable data and AI solutions.
• Apply strong knowledge of machine learning, vector databases, and unstructured data processing.
• Preferred: Experience with Databricks, Azure AI services, and deploying enterprise-level AI/ML solutions.