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Description: External Job Description Job Purpose Lead the design, development and implementation of Data Science, Machine Learning and Generative AI solutions. The role will require hands-on development, practical knowledge of Azure AI services, and the ability to build LLM and agent-based applications using agentic frameworks. The role involves guiding team members and working with business stakeholders to drive solutions from requirement through deployment. Business Responsibility Areas - Understand business problems and convert them into Data Science, Machine Learning or Generative AI solutions. - Perform hands-on development of ML and AI solutions. - Build and evaluate classification, regression, recommendation and other predictive models. - Develop LLM-based applications using prompt engineering, RAG, embeddings and vector search. - Design and implement agent-based applications using suitable agentic AI frameworks. - Develop or integrate MCP servers and MCP-based tools. - Design and deploy AI solutions using relevant Azure data and AI services. - Guide the team in data preparation, feature engineering, model evaluation and solution development. - Work with business, data, cloud, security and application teams to deliver solutions through development, UAT and production. - Monitor deployed models and AI applications for accuracy, reliability, performance and cost. - Maintain technical documentation and promote reusable components and development standards.