Professional experience in business analysis, requirement gathering, and solution workflow design for AI/ML/Analytics projects. Experience in LLM/Gen AI – Prompt Engineering, RAG, and hyperparameter tuning. Strong programming skills in Python and SQL. Solid understanding of ML libraries and applications, such as time series analysis, neural networks, SVMs, boosting methods, and implementation using Python. Experience in deep learning techniques. Excellent communication skills to effectively collaborate with business SMEs and UX teams. Intermediate knowledge of DevOps practices, including CI/CD, automation, build management, and versioning. Understanding of cloud services, including Microsoft Azure, GCP, or Amazon Web Services. Experience with PySpark is an added advantage. RESPONSIBILITIES: Excellent problem-solving, critical thinking, and analytical skills. Proficient in data fetching, data merging, data wrangling, exploratory data analysis, and feature engineering. Strong SQL skills with working knowledge of machine learning algorithms. Fully drive client engagement and align the development team with the technical roadmap. Lead teams of data scientists to achieve project outcomes. Implement analytical requirements by defining and analyzing system problems, designing and testing standards, and developing solutions. Develop solutions by preparing and evaluating alternative workflow options. Determine operational objectives by studying business functions, gathering information, and evaluating output requirements and formats. Design new analytical solutions by analyzing requirements, constructing workflow charts and diagrams, studying system capabilities, and writing specifications. Improve systems by studying current practices and designing modifications. Recommend controls by identifying problems and writing improved procedures. Define project requirements by identifying milestones, phases, and elements, forming project teams, and establishing project budgets. Monitor project progress by tracking activities, resolving problems, publishing progress reports, and recommending actions. Maintain system protocols by writing and updating procedures. Provide references for users by writing and maintaining user documentation, providing help desk support, and training users. Maintain user confidence and protect operations by keeping information confidential. Prepare technical reports by collecting, analyzing, and summarizing information and trends. Maintain professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, benchmarking state-of-the-art practices, and participating in professional societies.