Mid Senior Data Scientist (Generative AI / LLM) | 4 to 8 years

Job Description Mid Senior Data Scientist (Generative AI / LLM) Position: Permanent Role: Senior Data Scientist Generative AI & Large Language Models (LLM) Experience: 48 Years Location: Bangalore, India Shift: General Shift Work Mode: Hybrid Package: 22 LPA Max Key Skills Machine Learning (ML)Deep LearningGenerative AILarge Language Models (LLM)Retrieval-Augmented Generation (RAG)Transformer ModelsNatural Language Processing (NLP)PythonPrompt EngineeringAI Agent FrameworksMLOpsAbout the Role We are looking for an experienced Senior Data Scientist with strong expertise in Generative AI, Large Language Models (LLMs), and Transformer architectures. The ideal candidate will be responsible for designing and developing next-generation AI solutions focused on: Document SummarizationIntelligent Text ClassificationConversational AI SystemsQuestion-Answering ApplicationsStructured and Unstructured Data ProcessingThe role requires hands-on experience in researching, experimenting, and implementing state-of-the-art AI techniques to build scalable, secure, and impactful Generative AI applications that enhance both customer and employee experiences. Key Responsibilities Design and develop AI-powered solutions for:Document SummarizationText ClassificationQuestion-Answering SystemsConversational AI ApplicationsBuild and optimize applications using:Large Language Models (LLMs)Transformer ArchitecturesRetrieval-Augmented Generation (RAG) FrameworksDesign and implement:AI Safety MechanismsResponsible AI PracticesGuardrails at Application and API LayersCollaborate with:Product TeamsEngineering TeamsResearch TeamsBusiness StakeholdersConduct research and experimentation with:Machine LearningDeep LearningGenerative AI TechniquesDevelop and deploy scalable AI models and implement:Model Evaluation FrameworksMonitoring and Performance OptimizationProduction Best PracticesStay updated with the latest advancements in:Data ScienceNLPGenerative AILLM Ecosystem and Emerging AI TechnologiesRequired Skills & ExpertiseTechnical Skills Strong experience in Machine Learning, Deep Learning, and Natural Language Processing (NLP).Hands-on experience with Large Language Models (LLMs) and Transformer-based architectures.Experience in building RAG-based applications, Prompt Engineering, and AI Agent Frameworks.Proficiency in Python and AI/ML frameworks such as:PyTorchTensorFlowHugging FaceLangChainVector DatabasesExperience with:Model DeploymentAPI Development & IntegrationMLOps Practices (Preferred)Soft Skills Strong analytical and problem-solving skills.Excellent communication and stakeholder management abilities.Ability to work in a fast-paced, collaborative, and research-driven environment. Job Description Mid Senior Data Scientist (Generative AI / LLM) Position: Permanent Role: Senior Data Scientist Generative AI & Large Language Models (LLM) Experience: 48 Years Location: Bangalore, India Shift: General Shift Work Mode: Hybrid Package: 22 LPA Max Key Skills Machine Learning (ML)Deep LearningGenerative AILarge Language Models (LLM)Retrieval-Augmented Generation (RAG)Transformer ModelsNatural Language Processing (NLP)PythonPrompt EngineeringAI Agent FrameworksMLOpsAbout the Role We are looking for an experienced Senior Data Scientist with strong expertise in Generative AI, Large Language Models (LLMs), and Transformer architectures. The ideal candidate will be responsible for designing and developing next-generation AI solutions focused on: Document SummarizationIntelligent Text ClassificationConversational AI SystemsQuestion-Answering ApplicationsStructured and Unstructured Data ProcessingThe role requires hands-on experience in researching, experimenting, and implementing state-of-the-art AI techniques to build scalable, secure, and impactful Generative AI applications that enhance both customer and employee experiences. Key Responsibilities Design and develop AI-powered solutions for:Document SummarizationText ClassificationQuestion-Answering SystemsConversational AI ApplicationsBuild and optimize applications using:Large Language Models (LLMs)Transformer ArchitecturesRetrieval-Augmented Generation (RAG) FrameworksDesign and implement:AI Safety MechanismsResponsible AI PracticesGuardrails at Application and API LayersCollaborate with:Product TeamsEngineering TeamsResearch TeamsBusiness StakeholdersConduct research and experimentation with:Machine LearningDeep LearningGenerative AI TechniquesDevelop and deploy scalable AI models and implement:Model Evaluation FrameworksMonitoring and Performance OptimizationProduction Best PracticesStay updated with the latest advancements in:Data ScienceNLPGenerative AILLM Ecosystem and Emerging AI TechnologiesRequired Skills & ExpertiseTechnical Skills Strong experience in Machine Learning, Deep Learning, and Natural Language Processing (NLP).Hands-on experience with Large Language Models (LLMs) and Transformer-based architectures.Experience in building R