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Lead Data Scientist - Generative AI/LLM

Fresher   Navi Mumbai, All India   02 Feb, 2026
Job LocationNavi Mumbai, All India
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    You are a highly skilled Lead Data Scientist with expertise in Generative AI (GenAI), Large Language Models (LLM), Machine Learning (ML), and Natural Language Processing (NLP. You will be responsible for leading projects from conception to deployment, creating and assisting in the development of insights products for corporate clients and in-house products.Key Responsibilities:- Team Management- Lead the design, development, and implementation of advanced ML models and algorithms.- Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.- Mentor and guide junior data scientists in best practices and methodologies.- Stay updated with the latest advancements in GenAI, LLM, and NLP technologies.- Create ML models and advance algorithms to identify and flag risky transactions & card members.- Work on new innovative Generative AI based solutions to enhance user experience of digital products and increase team productivity.- Gain expertise on data understanding and tables to maximize their usage in insight products.- Deploy models in enterprise tools and monitor their performance over time.- Work with product, UX, and tech team to deliver products in an agile framework.- Conceptualize, develop, and prototype new insights products/product/feature enhancements for travel.Qualifications Required:- 4 years of experience in data science or a related field.- Proficiency in programming languages such as Python, R Programming, Machine Learning, Deep Learning, Generative AI, LLM, Prompt Engineering - Azure, AWS - SQL, MongoDB.- Strong understanding of machine learning frameworks.- Experience with NLP techniques and tools.- Excellent problem-solving skills and ability to work in a fast-paced environment.(Note: Company details are not provided in the job description.) You are a highly skilled Lead Data Scientist with expertise in Generative AI (GenAI), Large Language Models (LLM), Machine Learning (ML), and Natural Language Processing (NLP. You will be responsible for leading projects from conception to deployment, creating and assisting in the development of insights products for corporate clients and in-house products.Key Responsibilities:- Team Management- Lead the design, development, and implementation of advanced ML models and algorithms.- Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.- Mentor and guide junior data scientists in best practices and methodologies.- Stay updated with the latest advancements in GenAI, LLM, and NLP technologies.- Create ML models and advance algorithms to identify and flag risky transactions & card members.- Work on new innovative Generative AI based solutions to enhance user experience of digital products and increase team productivity.- Gain expertise on data understanding and tables to maximize their usage in insight products.- Deploy models in enterprise tools and monitor their performance over time.- Work with product, UX, and tech team to deliver products in an agile framework.- Conceptualize, develop, and prototype new insights products/product/feature enhancements for travel.Qualifications Required:- 4 years of experience in data science or a related field.- Proficiency in programming languages such as Python, R Programming, Machine Learning, Deep Learning, Generative AI, LLM, Prompt Engineering - Azure, AWS - SQL, MongoDB.- Strong understanding of machine learning frameworks.- Experience with NLP techniques and tools.- Excellent problem-solving skills and ability to work in a fast-paced environment.(Note: Company details are not provided in the job description.)

Keyskills :
PythonR ProgrammingDeep LearningMongoDBGenerative AI GenAILarge Language Models LLMMachine Learning MLNatural Language Processing NLPPrompt EngineeringAzure

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