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
Bachelors or Masters 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 models 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.
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.