Precision Oncology AI/ML Engineer

Moffitt Cancer Center; Tampa (FL); On-site; USD 108,000 - 165,000; Full time

Job summary

Moffitt Cancer Center in Tampa, Florida, is seeking an AI/ML Engineer for Precision Oncology. You will design, deploy, and scale AI and machine learning systems to support cancer research and clinical outcomes optimization.

The role collaborates with AI Data Scientists, clinicians, and informaticians to translate cutting-edge AI into robust, production-ready solutions. Candidates should have strong Python, ML engineering, cloud experience, and a passion for improving patient care.

Qualifications

• Master's degree in CS/Engineering/Data Science or related field.
• At least 3 years of professional experience building and deploying ML systems.
• Strong Python programming and software engineering skills.
• Experience with PyTorch, Hugging Face, or similar frameworks.
• Experience with cloud platforms, data pipelines, and MLOps.

Responsibilities

• Design, develop, deploy, and maintain scalable AI/ML systems for precision oncology.
• Build AI platforms integrating multimodal clinical and research data.
• Develop data pipelines, training workflows, and inference services.
• Apply MLOps practices including versioning, monitoring, and governance.
• Collaborate with scientists and clinicians to translate methods into production solutions.

Skills

Python

Machine learning engineering

Data pipelines

Cloud computing

MLOps

Git

Docker

Kubernetes

Hugging Face

Foundation models

Education

Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, AI, Biomedical Engineering, Informatics

Bachelor's degree with relevant experience

Tools

Hugging Face

PyTorch

Docker

Kubernetes

Job description

Moffitt Cancer Center in Tampa, Florida, is seeking an AI/ML Engineer for Precision Oncology. You will design, deploy, and scale AI and machine learning systems to support cancer research and clinical outcomes optimization.

The role collaborates with AI Data Scientists, clinicians, and informaticians to translate cutting-edge AI into robust, production-ready solutions. Candidates should have strong Python, ML engineering, cloud experience, and a passion for improving patient care.