Coffeebeans.io - Data Scientist - LLM/Generative AI in Bangalore, भारत

About CoffeeBeans Consulting :CoffeeBeans is a fast-growing tech company delivering high-quality software and AI solutions to clients across https://jobeax.com/link/1eUjct1h9VTVITOE combine deep technical expertise with an agile mindset to solve complex business https://jobeax.com/link/KPqFU1HnSWPfPqct data science and GenAI teams work at the frontier of ML, NLP, and product development to build intelligent, scalable, and user-centric https://jobeax.com/link/SFHOY7EhVu5tBl6Q Overview :As an L2 or L3 Data Scientist, you will work alongside experienced engineers and data scientists to solve real-world problems using ML and https://jobeax.com/link/Rc5kF3rxSkE8OLKv addition to classical data science work, we expect you to actively contribute to building and fine-tuning large language model (LLM) - based applications, including chatbots, copilots, and automation https://jobeax.com/link/bJV02nZCwocDVXso 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 https://jobeax.com/link/1zoyWH1AVQN1pQPx 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 https://jobeax.com/link/OB52NQU8FI4MzzRH Skills & Qualifications :- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.- 3 to 8 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 https://jobeax.com/link/fWCChodmmL5ikgTk Join CoffeeBeans ?- Work on cutting-edge GenAI and ML use cases across fintech, retail, healthcare, and more.- Fast learning curve with mentorship from senior data scientists, engineers, and architects.- Flat, collaborative culture that rewards ownership and curiosity.- Strong emphasis on product thinking, experimentation, and impact. (ref:hirist.tech)