Hybrid Senior GenAI Data Scientist

at Medtronic

• Job title: Senior GenAI Data Scientist
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Python, PyTorch, React, Scikit-Learn, Spark, SQL
• Location requirements: Hybrid, Pune, India

About the role

• Senior Gen AI Data Scientist at Medtronic developing AI models and machine learning algorithms for the Diabetes business. Collaborating with teams to implement innovative solutions and improve healthcare access.

Responsibilities

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Develop and implement AI models, machine learning algorithms, Gen AI applications to solve business problems.
• Analyze large, complex datasets to identify trends, patterns, and insights.
• Develop processes and tools to finetune, evaluate, monitor, and analyze model performance and accuracy.
• Use software design principles and AI Copilot/AI builders to develop production ready code.
• Collaborate with cross-functional teams to define project objectives and deliverables.
• Design and execute experiments to test hypotheses and validate model.
• Communicate findings and insights to stakeholders in a clear and concise manner.
• Stay up-to-date with the latest advancements in Gen AI, data science and machine learning techniques.
• Mentor and provide guidance to junior data scientists.

Requirements

• Strong understanding of ML algorithms and techniques: supervised and unsupervised learning, deep learning.
• Deep knowledge in NLP, Computer Vision, and GenAI, including architectures like Transformers, BERT, GPT, etc.
• Strong programming skills in languages such as Python.
• Must be an expert in writing ML code.
• Working experience with full-stack web development (using either Python backend + React frontend or AI builders like lovable.dev and builder.io).
• Proficiency in data manipulation and analysis using SQL and Spark.
• Can build vector DB.
• Hands-on experience in state-of-the-art ML and DL as applied to large-scale datasets.
• Hands-on experience with ML frameworks and libraries (PyTorch, Scikit-learn, NLTK, llama-index, Langchain, Lang Graph).
• Solid understanding of statistical concepts and techniques.
• Strong Math background.
• Solid understanding of feature engineering, model evaluation techniques, vector DB, Agentic and RAG applications.
• Working experience with cloud computing platforms (AWS).
• Working experience with deploying, monitoring, finetuning LLM/VLM models and building AI agents.
• Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Mathematics, or related field).
• Proven experience as a GenAI Data Scientist or Machine Learning Engineer.
• Minimum of 5 years of relevant experience.

Benefits

• Competitive Salary
• Flexible Benefits Package