Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy
Job requirements
Bachelor's or Master's Degree in Computer Science, IT Engineering, or related fields.
Overall 9+ years and Minimum of 2+ years of experience in delivering AI-powered products, with at least 2 years of dedicated Product Management experience.
At least 1 years of experience with GPT/LLM model development, including pre-processing, feature selection, and hyper-parameter tuning Experience working on Agentic AI solutioning, Develop and train GPT/LLM models to generate natural language text for various applications such as chatbots, question-answering systems, and recommendation engines. Hands on Experience in Graph RAG and agentic AI Collaborate with cross-functional teams to define product requirements and develop use cases for GPT/LLM models. Hands on experience in Machine learning, regression, forecasting and Deep learning Conduct data analysis, pre-processing, feature engineering and model selection to create accurate models in a timely and efficient manner. Continuously monitor the accuracy and performance of the models, and iterate to improve the model's performance based on feedback. Strong analytical, strategic thinking, leadership, problem-solving, and project management skills. Exceptional attention to detail, combined with the ability to think innovatively and address challenges at both macro and micro levels. Defining the vision for the Data / AI use with senior leaders for the medium and long term. Share, update and align the vision of the use cases with senior stakeholders to act as the clear guide path for adoption and growth.
