Data Scientist - Generative AI

Role 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.