Precision Oncology AI Engineer - MLOps & Multimodal ML

Jobtailor; Tampa (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is hiring for an AI/ML systems engineer to design, develop, deploy, and maintain scalable AI platforms for precision oncology. You will integrate multimodal clinical data, build training and inference workflows, and implement MLOps across cloud/HPC environments.

The role requires strong Python expertise, experience with PyTorch/Hugging Face, and a track record of building production-grade AI software.

Qualifications

• Master’s degree in Computer Science, Computer Engineering, or related quantitative field;Bachelor’s considered with experience
• Three (3) years of professional experience in ML systems, data platforms, or AI software
• Strong Python software engineering and programming skills
• Experience with PyTorch or Hugging Face for ML/DL apps
• Experience building large-scale data processing pipelines in cloud/HPC/GPU environments
• Experience with MLOps, Git, containerization, and production-grade AI software
• Preferred: experience with foundation models, LLMs, and multimodal AI systems
• Preferred: experience integrating clinical, imaging, pathology, molecular, genomic data into AI
• Preferred: cloud-native AI platforms, CI/CD, workflow orchestration, and AI governance
• Preferred: vector databases, semantic search, RAG, retrieval systems, or agentic AI frameworks

Responsibilities

• Design and deploy scalable AI/ML systems for precision oncology
• Build and manage AI platforms integrating multimodal clinical and research data
• Develop scalable data pipelines, model-training workflows, and inference services
• Implement MLOps practices including versioning, experiment tracking, deployment, monitoring, governance
• Develop foundation models, generative AI, LLMs, and vision-language models
• Create APIs and services integrating AI into research, clinical, and operations
• Evaluate emerging AI technologies and frameworks for institutional use
• Collaborate with scientists and clinicians to translate AI into scalable solutions
• Perform related duties as assigned by leadership

Skills

ML System Development

MLOps Implementation

Python Programming

Data Pipeline Engineering

AI Application Development

Education

Master's degree in CS/related field

Tools

PyTorch

Hugging Face

Git

Containerization

Cloud Computing

HPC

GPU

CI/CD

Vector Databases

Workflow Orchestration

Job description

Jobtailor is hiring for an AI/ML systems engineer to design, develop, deploy, and maintain scalable AI platforms for precision oncology. You will integrate multimodal clinical data, build training and inference workflows, and implement MLOps across cloud/HPC environments.

The role requires strong Python expertise, experience with PyTorch/Hugging Face, and a track record of building production-grade AI software.