Full Stack Machine Learning Engineer

October 3

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Cardinal Health

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healthcare services • supply chain • pharmaceutical distribution • medical product distribution • operating room products

10,000+

💰 $78M Post-IPO Debt on 2006-08

Description

• Join Cardinal Health's AI CoE to develop impactful AI solutions. • Explore and implement Generative AI technologies like Large Language Models and Retrieval Augmented Generation systems. • Design, build, and deploy machine learning models for various problems including forecasting and risk prediction. • Collaborate with engineers and data scientists to build robust and scalable GenAI / ML pipelines. • Design and maintain RESTful APIs for ML services. • Work on user interfaces (UI) for applications using front-end technologies. • Collaborate with business stakeholders to understand needs and translate into AI-driven solutions. • Stay updated on the latest advancements in AI.

Requirements

• Bachelor's degree in Computer Science or related field, or equivalent work experience, preferred • 2-4 years of experience, preferred • Strong understanding of machine learning algorithms, techniques, and their applications. • Proficient in Python and comfortable working with machine learning libraries like Scikit-learn, TensorFlow, PyTorch, or similar, preferred. • Experience with cloud platforms like GCP, AWS, or Azure for data processing, model training, deployment, and management, preferred. • Familiarity with data engineering principles, data pipelines, and working with various data formats, preferred. • Experience with front-end technologies (HTML, CSS, JavaScript, potentially React) and backend technologies (Python, Node.js, etc.), as well as API development (RESTful APIs) and microservices architecture, preferred. • Excellent communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders, preferred. • Experience with Generative AI, LLMs, and RAG technologies, preferred. • Experience with CI/CD pipelines for GenAI solutions and ML models, preferred. • Familiarity with API development (RESTful APIs) and microservices architecture, preferred. • Experience working with healthcare data and understanding of HIPAA regulations, preferred. • Knowledge of software engineering patterns and best practices, preferred. • Experience with Agile development methodologies and DevSecOps principles, preferred.

Benefits

• Medical, dental and vision coverage • Paid time off plan • Health savings account (HSA) • 401k savings plan • Access to wages before pay day with myFlexPay • Flexible spending accounts (FSAs) • Short- and long-term disability coverage • Work-Life resources • Paid parental leave • Healthy lifestyle programs