Data Scientist - Gen Ai

The Data Scientist role is designed for a highly analytical and technically skilled individual who excels in data-driven environments. The candidate should possess a strong background in Python programming, database management, and data science methodologies. This role primarily focuses on leveraging data to drive insights and decision-making. The core responsibilities of the role include a range of data science tasks, such as collecting and cleansing data, exploring, and visualizing insights, and applying statistical and mathematical analysis techniques. It involves developing and implementing machine learning and deep learning models, managing big data infrastructure, and executing data engineering tasks. Additionally, the role requires maintaining codebase integrity through version control and designing, creating, and supporting AI-driven products to deliver impactful AI solutions.Responsibilities include:Collecting and cleansing data from diverse sources for analysis, ensuring high-quality and relevant datasets (structured and unstructured) for effective decision-making.Exploring and visualizing data to uncover insights and trends, using advanced tools and techniques for meaningful data interpretation.Applying statistical and mathematical techniques to analyze data, providing robust analytical foundations for predictive modeling and inference.Developing and implementing machine learning and deep learning modelsAdaptation of foundation models/LLMs to address specific business challenges.Expertise in ML-Ops / AI-OpsManaging big data infrastructure and carrying out data engineering tasks, ensuring efficient data storage, processing, and retrieval.Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and error-free development environment.Designing, creating, and supporting AI-driven products, focusing on delivering scalable and impactful AI solutions that meet user needs and business objectives.