Data Scientist - GenAI Developer
Merck · Bangalore
Source and collection record
Last observed by our collector: . This is not a manual review or a confirmation from the employer.
Employer requisition: 304640
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Collected role description
Job Title: Data Scientists . Job Location: Bangalore. The Health Care Data Engineering Team is responsible for designing, developing, testing, and supporting automated end-to-end data pipelines and applications on Health Care – MERCK Data analytics platform. Role Overview. Job Title: Junior Data Scientist – Generative AI. Experience Level: 0–2 years. Core Focus: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and basic Agentic workflows [1]. Key Responsibilities. Model Integration: Build and fine-tune text or data applications using LangChain, LlamaIndex, or open-source APIs. RAG Pipelines: Assist in creating search and retrieval systems that connect internal company databases to AI models. Data Preparation: Clean, format, and preprocess large text or numerical datasets for model training. Prompt Engineering: Test, evaluate, and optimize prompts to improve the accuracy and safety of AI outputs. Collaboration: Work with senior data scientists and data engineers to move experimental code into production testing. [1, 2, 3, 4]. Required Qualifications. Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or Engineering. Programming: Strong coding skills in Python and familiarity with libraries like Pandas, NumPy, and Scikit-Learn. AI Knowledge: Foundational understanding of neural networks, Natural Language Processing (NLP), and transformer architectures. Tools: Basic experience with Git, Docker, and using LLM application frameworks (LangGraph, OpenAI APIs).
Collected minimum qualification
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or Engineering.
Collected experience requirement
0 - 2 years