Senior Data Scientist

Job Title: Senior Data Scientist Company: Persistent Systems Job Category: Data Science Roles & Responsibilities: Job Description About Persistent Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 26 sequential quarters of growth with $487\.6M in Q4 FY26 revenue, up 7\.8% Q\-o\-Q and 20\.0% Y\-o\-Y. Our 29,500\+ global team members, located in 21 countries, have been instrumental in helping the market leaders transform their industries. We received five awards at the ISG (Information Services Group) Provider Lens Awards 2026 and, for the second year in a row, were awarded the Growth Honor of the Year at the Everest Group Elevate 2026\. We are seeking a highly skilled Senior Data Scientist specializing in LLM Fine\-Tuning and Clinical AI to build, optimize, and evaluate enterprise\-grade Generative AI solutions. The ideal candidate will have strong expertise in Python, PyTorch, Hugging Face, LoRA/PEFT, and Large Language Models (LLMs). You will play a key role in developing healthcare\-focused AI solutions by fine\-tuning foundation models, implementing robust evaluation frameworks, and ensuring clinically accurate, safe, and reliable AI\-generated outcomes. * Design, develop, and optimize Machine Learning and Deep Learning solutions using Python and PyTorch. * Train, fine\-tune, and evaluate Large Language Models (LLMs) for healthcare and enterprise AI use cases. * Utilize Hugging Face libraries and transformer architectures for model development and deployment. * Implement parameter\-efficient fine\-tuning techniques such as LoRA and PEFT. * Build and optimize Retrieval\-Augmented Generation (RAG) and LLM\-powered applications. * Conduct exploratory data analysis on structured and unstructured clinical datasets. * Develop data preprocessing, feature engineering, and model validation pipelines. * Design evaluation frameworks to assess model accuracy, safety, explainability, and clinical relevance. * Perform model benchmarking, experimentation, and performance analysis. * Track experiments and manage model lifecycle using MLflow or Weights \& Biases. * Collaborate with ML Engineers and domain experts to deploy AI models into production. * Monitor model performance and continuously improve model quality. * Develop scalable AI workflows and support distributed model training environments. * Contribute to AI engineering best practices, coding standards, and reusable frameworks. * Participate in architecture reviews, technical discussions, and knowledge\-sharing initiatives. * Stay updated with emerging trends in Machine Learning, Generative AI, NLP, and LLM technologies. Work Location: Maharashtra, India Availability: Full time

* Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Engineering, or a related field. * 6\-0-2 years of experience in Data Science, Machine Learning, Artificial Intelligence, or related domains. * Strong proficiency in Python programming and software engineering best practices. * Hands\-on experience with PyTorch and modern Deep Learning frameworks. * Strong expertise in Hugging Face transformers and model ecosystems. * Experience training, evaluating, and optimizing Large Language Models (LLMs). * Practical experience implementing LoRA, PEFT, and other parameter\-efficient fine\-tuning approaches. * Strong understanding of NLP concepts, transformer architectures, and language model workflows. * Experience developing model evaluation frameworks and benchmarking methodologies. * Hands\-on experience with MLflow or Weights \& Biases for experiment tracking and model management. * Experience working with large\-scale datasets and distributed training environments. * Knowledge of model optimization, hyperparameter tuning, and performance engineering. * Strong analytical thinking and problem\-solving skills. * Experience working in Agile and cross\-functional engineering teams. * Excellent communication and stakeholder collaboration skills. * Ability to translate business and clinical requirements into scalable AI solutions. Benefits: * Competitive salary and benefits package * Culture focused on talent development with quarterly growth opportunities and company\-sponsored higher education and certifications * Opportunity to work with cutting\-edge technologies * Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards * Annual health check\-ups * Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Key Skills: Data Science, Python, Statistics, Machine Learning Salary: $487