Globant - Data Scientist - Generative AI

Data Scientist - Generative AIRole Overview : We are seeking a highly motivated and experienced Data Scientist to join our innovative team. In this role, you will be at the forefront of developing and implementing cutting-edge Generative AI solutions, working closely with product managers, engineers, and business stakeholders. Your primary focus will be on leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to create intelligent applications that drive significant business value and enhance user experiences. You will be instrumental in shaping the future of our AI-powered products and services.Key Responsibilities : - Design and implement Generative AI solutions using LLMs and RAG for various business applications, ensuring alignment with strategic goals.- Develop and maintain robust machine learning pipelines for training, evaluating, and deploying AI models, optimizing for performance and scalability.- Conduct in-depth analysis of large datasets to identify patterns, insights, and opportunities for AI-driven innovation, informing product development and business strategy.- Collaborate with cross-functional teams to integrate AI models into existing systems and workflows, ensuring seamless deployment and user adoption.- Research and evaluate new AI technologies and techniques to continuously improve our capabilities and stay ahead of industry trends, driving innovation and competitive advantage.- Communicate complex technical concepts and findings to both technical and non-technical audiences, fostering understanding and collaboration.Required Skillset : - Demonstrated expertise in developing and deploying machine learning models using Python and related libraries (e.g., TensorFlow, PyTorch, scikit-learn).- Proven ability to work with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques.- Strong understanding of statistical modeling, data mining, and machine learning algorithms.- Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to diverse audiences.- A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.- Ability to thrive in a fast-paced, dynamic environment and adapt to evolving project requirements. (ref:hirist.tech)