Senior AI/Data Science Engineer

Responsibilities may include the following and other duties may be assigned

• Collaborate with cross-functional teams, including clinicians, engineers, and product managers, to identify opportunities for applying generative AI to solve complex problems in healthcare and medical device applications.
• Develop and fine-tune generative AI models, including LLMs (LLaMA, GPT, T5, BERT, MedBERT) and other transformer-based architectures, for applications such as summarization, entity extraction, or knowledge generation.
• Apply Retrieval-Augmented Generation (RAG) techniques to combine generative AI with structured and unstructured knowledge bases for clinical decision support and operational insights.
• Design and implement pipelines for preprocessing diverse data sources (e. g. , clinical notes, EHRs, sensor data) to prepare high-quality datasets for generative AI model training and evaluation.
• Research and apply domain-specific adaptations of generative AI models, ensuring solutions meet clinical, operational, and business needs.
• Stay current with the latest advancements in open-source generative AI models and frameworks, ensuring integration of cutting-edge techniques into healthcare-focused solutions.
• Develop scalable and secure deployment strategies for generative AI applications using cloud platforms (AWS, Azure, or GCP).
• Conduct exploratory data analysis (EDA) to validate data quality and assess suitability for generative model applications.
• Document methodologies, experimental results, and recommendations to align with regulatory and organizational standards.
• Mentor and guide junior data scientists, fostering expertise in generative AI techniques and healthcare applications.

Required Knowledge and Experience

• 8+ years of experience in AI, data science, or machine learning, with at least 5+ years focused on generative AI.
• Strong expertise in open-source generative AI models, including but not limited to GPT, LLaMA, T5, BERT, and MedBERT , and experience fine-tuning these models for domain-specific applications.
• Proficiency in Retrieval-Augmented Generation (RAG) and integrating generative AI with knowledge graphs, structured data, or enterprise databases and Microsoft Copilot Studio
• Deep understanding of transformer-based architectures and their applications in text generation, summarization, and knowledge extraction.
• Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch , or Hugging Face.
• Experience building pipelines for preprocessing and managing large-scale text datasets.
• Strong problem-solving skills and ability to translate business needs into data-driven solutions.
• Excellent communication and collaboration skills to deliver impactful AI solutions across interdisciplinary teams.
• Bachelors / Master s of Engineering in Computer Science, Statistics, Mathematics, or a related technical field.
• 8+ years of professional experience in data science or AI, with significant contributions to projects involving generative AI.

Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission to alleviate pain, restore health, and extend life unites a global team of 95, 000+ passionate people. We are engineers at heart putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.

Learn more about our business, mission, and our commitment to diversity here