AI/Data Science Eng I

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.

A Day in the Life AI solutions across CST NPI and RPM

We are seeking a highly motivated Associate Data Scientist / AI Engineer to join our growing AI and Data Science team. This role is ideal for early-career engineers passionate about Artificial Intelligence, Machine Learning, Generative AI, and Agentic AI systems .

The engineer will contribute to the design, development, evaluation, and deployment of AI-powered solutions, including AI Agents, Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) systems, prompt engineering, model fine-tuning, and intelligent automation solutions . The role offers an excellent opportunity to work with modern AI technologies and solve real-world business problems.

Key Responsibilities AI & Agent Development

• Design, develop, and deploy AI-powered agents using modern frameworks and tools.
• Build Agentic AI workflows capable of planning, reasoning, tool usage, and multi-step problem solving.
• Develop and optimize prompt engineering strategies for LLM-based applications.
• Implement Retrieval-Augmented Generation (RAG) solutions using vector databases and knowledge retrieval techniques.
• Integrate AI agents with enterprise applications, APIs, databases, and business workflows.

Machine Learning & Model Development

• Develop, train, evaluate, and deploy machine learning models for predictive analytics and intelligent automation.
• Participate in model fine-tuning and customization of foundation models for domain-specific use cases.
• Perform data preprocessing, feature engineering, model evaluation, and performance optimization.
• Analyze datasets and identify patterns, trends, and actionable insights.

Generative AI & LLM Solutions

• Work with state-of-the-art Large Language Models (OpenAI, Azure OpenAI, Llama, Mistral, etc.).
• Evaluate model performance using established benchmarks and metrics.

• Experiment with techniques such as:

• Fine-tuning, Parameter-Efficient Fine-Tuning (PEFT), LoRA, Prompt Tuning, RLHF concepts

• Improve AI system quality, accuracy, latency, and cost efficiency.

Engineering & Deployment

• Develop production-quality code following software engineering best practices.
• Build AI services using Python and modern AI frameworks.
• Participate in MLOps practices including model deployment, monitoring, and versioning.
• Create technical documentation, design artifacts, and presentations of AI solutions

Technical Skills

• Strong programming skills in Python.
• Understanding of Machine Learning fundamentals: Supervised Learning Unsupervised Learning Model Evaluation Feature Engineering
• Knowledge of Deep Learning concepts and neural networks.
• Understanding of Generative AI and Large Language Models.
• Familiarity with: Scikit-learn Pandas NumPy PyTorch or TensorFlow
• Basic knowledge of SQL and data handling techniques.
• Understanding of REST APIs and software development practices.
• Familiarity with Git version control.

TECHNICAL SPECIALIST CAREER STREAM: An individual contributor with responsibility in our technical functions to advance existing technology or introduce new technology and therapies. Formulates, delivers and/or manages projects assigned and works with other stakeholders to achieve desired results. May act as a mentor to colleagues or may direct the work of other lower level professionals. The majority of time is spent delivering R&D, systems or initiatives related to new technologies or therapies – from design to implementation - while adhering to policies, using specialized knowledge and skills.

DIFFERENTIATING FACTORS Autonomy: Entry-level individual contributor on a project or work team. Works with close supervision.

Organizational Impact: Delivers work of limited scope, typically smaller, less complex projects or related activities.

Innovation and Complexity: Identifies, defines and addresses problems that are not immediately evident but typi…