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Senior Data Scientist (Recommendation Systems, Generative AI, LLMs)

5.00 to 9.00 Years   Jaipur,Other Rajasthan   19 Oct, 2024
CIMET
Job LocationJaipur,Other Rajasthan
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven solutions.Responsibilities- Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms.- Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes.- Lead the development of Generative AI solutions, including content generation and automation.- Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions.- Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability.- Perform data exploration, analysis, and feature engineering to improve model performance.- Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities.- Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment.- Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions.- Work on model interpretability, explainability, and ensure models are built in an ethical and responsible manner.Required Skills and Qualifications- 5 years of experience in data science or machine learning, with a focus on building and deploying AI models.- Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques.- Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks.- In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks).- Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc.- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.- Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK.- Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models.- Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases.- Knowledge of MLOps and experience deploying models in production environments.- Strong problem-solving skills and a deep understanding of statistical methods and algorithms.Preferred Qualifications:- Experience with Reinforcement Learning and Recommender Systems personalization techniques.- Familiarity with ethical AI and model bias mitigation techniques.- Experience with A/B testing, experimentation, and performance tracking for AI models in production.- Prior experience mentoring junior data scientists and leading AI/ML projects.- Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders.,

Keyskills :
NLPPythonNumPyNLTKAWSGCPAzureSQLReinforcement LearningRecommender SystemsAlgorithmsAIML technologiesRecommendation SystemsChatbotsGenerative AILarge Language Models LLMsTransformerbased modelsGANsTensorFlowPyTorchScikitlearnPandasHug

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