Coffeebeans.io - Data Scientist - LLM/Generative AI

Job Title: Coffeebeans.io - Data Scientist - LLM/Generative AI Company: CoffeeBeans Job Category: Data Science Roles & Responsibilities: Our data science and GenAI teams work at the frontier of ML, NLP, and product development to build intelligent, scalable, and user\-centric solutions. This role is ideal for early\-career professionals with a strong analytical mindset, a passion for ML/AI, and curiosity around the fast\-evolving world of generative AI. Key Responsibilities * Work with business stakeholders to understand problem statements and assist in translating them into data science tasks. * Perform data collection, cleaning, feature engineering, and exploratory data analysis. * Develop and evaluate machine learning models using Python and ML libraries (e.g., scikit\-learn, XGBoost). * Assist in building LLM\-based workflows such as RAG (Retrieval\-Augmented Generation), prompt engineering, and fine\-tuning for use cases like document summarization, query resolution, and task automation. * Contribute to developing GenAI\-powered applications using tools like LangChain, OpenAI APIs, or similar LLM ecosystems. * Collaborate with engineers to build and test API endpoints, integrate models into applications, and monitor model performance post\-deployment. * Maintain reproducible notebooks and clear documentation for both traditional ML and LLM experiments. * Stay up to date with trends in machine learning, NLP, and GenAI ecosystems and contribute insights to team discussions. Work Location: Bengaluru, Karnataka, India Availability: Full time

Required Skills \& Qualifications * Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. * 2 years of experience in data science, ML, or AI\-focused roles (internships or projects count). * Proficiency in Python, with exposure to libraries such as pandas, NumPy, scikit\-learn, and matplotlib. * Basic experience working with LLMs (e.g., OpenAI, Cohere, Mistral, Hugging Face) or an interest and ability to learn quickly. * Understanding of NLP fundamentals and vector\-based retrieval techniques is a plus. * Familiarity with SQL and working with structured data sources. * Clear communication, curiosity, and a willingness to take initiative. Good\-to\-Have (Not Mandatory) * Exposure to building GenAI prototypes using LangChain, LlamaIndex, or similar frameworks. * Understanding of REST APIs and basics of integrating models into backend systems. * Experience with cloud platforms (AWS/GCP/Azure), Docker, or Git. Key Skills: Data Science Salary: Not disclosed