Senior Data Scientist - Machine Learning/Deep Learning

Role Overview: As a Data Scientist - II at our company in Udaipur, you will be responsible for leading and executing end-to-end machine learning projects. Your role will involve conducting in-depth research, staying updated on the latest advancements in Data Science, and translating cutting-edge ideas into real-world solutions. You will also be required to mentor junior data scientists, design and optimize ML and deep learning models, collaborate with cross-functional teams, and contribute to technical decision-making and innovation within the team. Key Responsibilities: - Lead and execute end-to-end machine learning projects, from research and experimentation to deployment in production. - Conduct in-depth research, stay updated on the latest advancements, and translate cutting-edge ideas into real-world solutions. - Read, evaluate, and implement research papers, especially in the Generative AI and deep learning domains. - Mentor and guide junior data scientists and interns through project execution and best practices. - Design, develop, and optimize ML and deep learning models to solve complex business problems. - Collaborate with cross-functional teams to transform data into insights and models into scalable products. - Contribute to technical decision-making and drive innovation within the team. Qualifications Required: - 5 to 7 years of experience in Data Science or Machine Learning roles. - Strong foundation in Statistics, Probability, and ML fundamentals. - Advanced proficiency in Python and hands-on experience with data science workflows. - Practical expertise with ML/DL libraries such as Scikit-learn, TensorFlow, Keras, and PyTorch. - Strong understanding of ML algorithmsLinear/Logistic Regression, Decision Trees, Gradient Descent, SVMs, etc. - Deep experience with Transformer architectures and working with Large Language Models (LLMs). - Hands-on experience with LLM application frameworks such as LangChain or LlamaIndex. - Proven ability to implement theoretical models into clean, production-ready code. - Demonstrated experience delivering high-impact, end-to-end AI/ML solutions. (Note: No additional details about the company were included in the job description provided),