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At Medtronic you can begin a life-long career of exploration and innovation while helping champion healthcare access and equity for all You ll lead with purpose breaking down barriers to innovation in a more connected compassionate world A Day in the Life At Medtronic we re revolutionizing healthcare by leveraging Generative AI to drive innovation in medical device development clinical decision support and operational efficiencies We are seeking a Senior Data Scientist specializing in Generative AI to lead the design development and application of cutting-edge AI solutions focusing on transforming how we analyze interpret and utilize healthcare data 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 Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position but they are not an exhaustive list of all the required responsibilities and skills of this position Perks Compensation 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 About Medtronic 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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.