Artificial Intelligence Engineer I

Baylor College of Medicine
Houston, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 104K

Job location

Houston, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
Health Informatics
Clinical Data Repository
Cloud Computing
Computer Programming
Data Mining
Machine Learning
Natural Language Processing
NumPy
TensorFlow
Web Application Frameworks
Data Processing
Google Cloud Platform
PyTorch
Deep Learning
Model Validation
Electronic Medical Records
GIT
Pandas
Containerization
Scikit Learn
Kubernetes
Information Technology
Epic Clarity
Machine Learning Operations
Software Version Control
Data Pipelines
Docker
Unsupervised Learning

Job description

AI/ML Model Development & Deployment

  • Collaborate closely with clinical researchers, physicians, and engineering teams to design, build, and deploy machine learning models for healthcare applications.
  • Assist in the development of AI-powered solutions spanning genomics analysis, EHR data mining, medical imaging interpretation, and diagnostic support systems.
  • Support robust ML pipelines from research prototypes to production-ready systems in clinical environments.
  • Ensure models meet healthcare regulatory standards and maintain high performance in real-world clinical settings.

Technical Implementation

  • Assist in the design and implement scalable AI/ML architectures using modern frameworks (TensorFlow, PyTorch, scikit-learn).
  • Documents data pipelines for processing complex clinical data from sources like Epic Clarity, REDCap, omics platforms, and medical imaging systems.
  • Develop and maintain infrastructure for integrating multi-modal healthcare data (genomics, transcriptomics, proteomics, imaging, EHR).
  • Optimize model performance for deployment on various platforms including cloud infrastructure and edge devices.
  • Integrate AI models with existing healthcare IT systems and electronic health records.

Research & Innovation

  • Stay current with latest developments in healthcare AI, including applications in precision medicine, computer vision, and natural language processing.
  • Collaborate on research publications and presentations at medical and technical conferences.
  • Participate in grant proposals and collaborative research initiatives with clinical departments.
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Requirements

We are seeking an innovative AI Engineer I to join our team at the Baylor College of Medicine and Texas Children's Hospital Data Science Center, where cutting-edge artificial intelligence meets healthcare delivery. This position offers a unique opportunity to collaborate and deploy AI/ML models that directly impact patient care and clinical workflows. You'll work at the intersection of multi-omics data, electronic health records, medical imaging, and clinical decision support systems., * Bachelor's degree in Computer Sciences, Statistics, Mathematics, or a related field or four years of relevant experience may substitute for degree requirement.

  • No prior experience required with Bachelor's degree.

Department-specific Requirements

  • Strong proficiency in Python programming with experience in ML/AI libraries (NumPy, pandas, scikit-learn, TensorFlow/PyTorch).
  • Solid understanding of machine learning fundamentals including supervised/unsupervised learning, deep learning architectures, and model evaluation.
  • Experience with ML model deployment and production systems.
  • Familiarity with version control (Git) and collaborative development workflows.

Preferred Qualifications and Skills

  • Background in genomics data processing, bioinformatics pipelines, or clinical informatics.
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Experience working with large-scale omics datasets (RNA-seq, whole genome/exome sequencing, proteomics).
  • Understanding of clinical workflows and electronic health record systems.
  • Experience with medical imaging analysis or natural language processing for clinical text.

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