Senior Data Scientist Date 26 Sept 2025 Location MITC Kandivli MITC Kandivli IN Company Mahindra Mahindra Ltd About the Team Mahindra AI Division is the AI innovation arm within Mahindra Group The division experiments with state-of-the-art AI technologies and is focused on developing and delivering cutting-edge AI products to the group With the division s team-expansion plan there is an excellent opportunity for your growth opportunities in the team Responsibilities Provide data science and AI expertise to design build and deliver scalable ML and deep learning solutions Work extensively with tabular data to develop predictive models perform feature engineering and optimize performance for real-world applications Apply conventional machine learning techniques e g regression classification ensemble methods alongside advanced deep learning methods Build and optimize deep learning models for structured and unstructured data including text and audio Lead development of solutions for audio data including classification recognition and signal processing tasks Design fine-tune and deploy LLMs Large Language Models SLMs Small Language Models and other Generative AI solutions for diverse business applications Translate business problems into well-structured ML AI problems and deliver actionable insights Deploy production-grade models with a focus on efficiency scalability and maintainability Collaborate with cross-functional teams including product managers engineers and domain experts to deliver high-impact projects Mentor junior data scientists and interns fostering innovation and best practices Qualification Requirements Educational Bachelor s degree with at least 7 years of experience or Master s with at least 4 years of experience in Data Science ML AI Preferred to have degree from a Tier-1 2 institute IIT IISc NITs if studied in India or a globally top-ranked university as per QS Technical Proven expertise working with large-scale tabular data and building machine learning models Strong knowledge of conventional ML algorithms tree-based models SVMs clustering etc Hands-on experience with deep learning frameworks such as TensorFlow PyTorch Mandatory expertise in LLMs SLMs and Generative AI including fine-tuning prompt engineering and deployment Proficiency in Python and libraries such as scikit-learn pandas NumPy Exposure to model deployment frameworks and tools ONNX Triton TensorRT FastAPI etc Familiarity with cloud platforms Azure GCP for training and deploying ML solutions Experience with Databricks is a plus Strong understanding of MLOps practices reproducibility and model monitoring Other Excellent written and verbal communication skills in English Demonstrated experience working collaboratively in cross-functional teams Ability to balance research and production priorities while meeting deadlines Passionate about applying AI ML to solve diverse real-world problems especially at the intersection of GenAI and enterprise AI adoption Job Segment Engineer Scientific Engineering