FULL STACK MACHINE LEARNING ENGINEER, SENIOR ANALYST - AI COE

Full Stack Machine Learning Engineer, Senior Analyst - AI CoE at Cardinal Health in Boise, Idaho, United States Job Description At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE) , we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI).

Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience.

We are seeking a highly motivated and skilled Full Stack Machine Learning Engineer to join our growing team. You will play a key role in developing, deploying, and integrating impactful AI solutions that address critical business challenges.

You will be responsible for building end-to-end AI-powered / driven systems, combining your expertise in machine learning, software engineering, and user interface development.

Why Join Cardinal Health's AI CoE? + Make a Real Difference : Contribute to cutting-edge solutions that improve patient care, enhance healthcare operations, and drive positive change in the industry.

• Work with a Passionate Team : Join a team of highly skilled data scientists and engineers who are committed to pushing the boundaries of AI in healthcare.
• Grow and Develop : Access opportunities for professional growth, mentorship, and development within a dynamic and innovative environment.

Responsibilities : + Explore, Implement and Support Generative AI Solutions : You will work with the team to explore and implement Generative AI (GenAI) technologies like Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) systems.

This may involve tasks like building prompt engineering strategies, integrating LLMs with relevant healthcare data, and evaluating the performance of GenAI models in various applications.

Develop, Deploy and Support Machine Learning Models : You will design, build, and deploy machine learning models to tackle a variety of problems including forecasting, classification, risk prediction, and more.

This will involve leveraging your expertise in Python, machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, and cloud platforms like Google Cloud Platform (GCP).

GenAI / ML Pipeline Development : You will work collaboratively with other engineers and data scientists to build robust and scalable GenAI / ML pipelines, ensuring data quality, model training, and deployment and support efficiency.

This may include using tools like Docker, Kubernetes, and Airflow. + Build and Maintain APIs for Machine Learning Services : You will desi To view full details and how to apply, please login or create a Job Seeker account