Senior Data Scientist
Summary
Senior Data Scientist at Persistent (Pune) building enterprise generative-AI for healthcare: fine-tuning LLMs with Python, PyTorch, Hugging Face, LoRA/PEFT, building RAG applications and model evaluation/safety frameworks, with experiment tracking via MLflow or Weights & Biases.
About Position:
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.
- Role: Senior Data Scientist - LLM Fine-Tuning & Clinical AI
- Location: All Persistent Locations
- Experience: 6 to 10 Years
- Job Type: Full-Time Employment
What You'll Do:
- 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.
Expertise You'll Bring:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Engineering, or a related field.
- 6 to 10 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
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
Let's unleash your full potential at Persistent - persistent.com/careers
"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."