Responsibilities:-– Support the development and implementation of ML models and algorithms.– Conduct experiments and tests to evaluate the model's performance and identify areas for improvement.– Work on tasks related to data visualization, feature engineering, and model interpretation.– Document and present findings, insights, and results to the team.
Required Skills :-– Proficient in either Python programming or dplyr (R).experience with data wrangling and preprocessing using libraries such as pandas (Python) or dplyr (R).– Understanding of machine learning, large language models, Data interpretation & handling is important. Knowledge on computer vision, natural language processing, would be added advantage– Working knowledge of fundamental statistical concepts and methods.