Professional Experience: 7+ years in business analysis, requirement gathering, and solution workflow design for AI/ML/Analytics projects. Programming Skills: Proficient in Python and SQL. ML Libraries and Applications: Strong understanding of ML libraries and applications (e.g., Time series analysis, Neural Networks, SVMs, boosting methods), with implementation experience in Python. Deep Learning Techniques: Experience with deep learning techniques. Communication Skills: Excellent communication skills to collaborate effectively with business SMEs and UX teams. DevOps Practices: Intermediate knowledge of DevOps practices, including CICD, Automation, Build Management, and Versioning. Cloud Services: Understanding of Cloud services, including Microsoft Azure, GCP, or AWS. LLM/Gen AI: Experience in LLM/Gen AI – Prompt Engineering, RAG, and parameter hyper-tuning. Pyspark: Experience in Pyspark is an added advantage.

RESPONSIBILITIES:

Strong problem-solving, critical, and analytical thinking skills, with hands-on coding expertise. Proficient in data fetch, data merge, data wrangling, exploratory data analysis, and feature engineering. Python and SQL skills with practical knowledge of machine learning algorithms. Drive client engagement and align the development team with a technical roadmap. Implement analytical requirements by defining and analyzing system problems, designing, and testing standards and solutions. Develop solutions by preparing and evaluating alternative workflow solutions. Study business functions to determine operational objectives, gather information, and evaluate output requirements and formats. Design new analytical solutions by analyzing requirements, constructing workflow charts/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 a project team, and establishing the project budget. Monitor project progress by tracking activity, resolving issues, publishing progress reports, and recommending actions. Maintain system protocols by writing and updating procedures. Provide user references by writing and maintaining user documentation, providing help desk support, and training users. Maintain user confidence and protect operations by ensuring information confidentiality. 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.