Senior Data Scientist

Job Title: Senior Data Scientist Company: Persistent Systems Job Category: Machine Learning Roles & Responsibilities: 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: Pune City, 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. * 1-3 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: Machine Learning, Python, PyTorch, Model Training, Feature Engineering, NLP Salary: Not disclosed