Senior Data Scientist

Role Overview: As a Senior Data Scientist at our company, you will play a crucial role in leveraging data to power intelligent systems and breakthrough research. You will lead end-to-end ML projects, explore cutting-edge AI applications, and mentor the next generation of data talent. If you are passionate about solving high-impact problems with Machine Learning and Generative AI, this role is tailored for you. Key Responsibilities: - Lead end-to-end ML projects, from research and experimentation to production deployment. - Explore and implement state-of-the-art research in ML and Generative AI. - Build and optimize deep learning and machine learning models for complex business challenges. - Collaborate across teams to transform insights into scalable products. - Mentor junior data scientists and interns to support their growth with impactful projects. Qualifications Required: - 5-7 years of experience in Data Science/Machine Learning roles. - Strong foundation in statistics, probability, and core ML algorithms such as Regression, Decision Trees, Gradient Descent, SVMs, etc. - Proficiency in Python and frameworks like Scikit-learn, TensorFlow, Keras, PyTorch. - Hands-on experience with transformer architectures and Large Language Models (LLMs). - Familiarity with tools like Langchain or LlamaIndex for LLM-based applications. - Ability to translate theoretical research into production-ready solutions.,