TeleTracking
Machine Learning Engineer III
Pittsburgh, PA +1 · Full-time · Posted May 4, 2026
- Location
- Pittsburgh, PA
Pittsburgh, Pennsylvania, United States - Experience
- Bachelor's degree route: 7 or more years of experience. Preferred master's or PhD route: 5 or more years of experience.
- Education
- Bachelor's degree in computer science, Data Science, Machine Learning, Artificial Intelligence, or a related field; master's or PhD in one of these fields is preferred.
- Visa sponsorship
- Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
About the job
Develops and deploys machine learning solutions for hospital operations and patient care, including building data pipelines and maintaining models in production.
What you'll do
- Design, develop, and deploy machine learning and deep learning models for hospital challenges such as patient flow, resource allocation, and patient outcomes.
- Build and optimize data ingestion and modeling pipelines, and monitor deployed models using MLOps practices.
- Collaborate with healthcare and technical teams, mentor junior staff, and write technical design documents.
What they ask for
- End-to-end machine learning model design and deployment experience in healthcare or similar settings.
- Programming experience with Python or R and proficiency with TensorFlow, PyTorch, or Scikit-learn.
- Experience with cloud hosting or management, databases, and version control; ability to write complex SQL queries.
- Knowledge of clinical workflows and hospital operations, plus healthcare privacy regulations such as HIPAA or GDPR.
Nice to have
- Master's or PhD in a related field, with 5 or more years of experience.
- Expertise in NLP, computer vision, or other specialized machine learning techniques applicable to healthcare.
Tools
Python, R, TensorFlow, PyTorch, Scikit-learn, AWS, Azure, GCS
AI focus
Applies machine learning and deep learning to patient care, hospital operations, patient flow, resource allocation, bed management, and predictive analytics for patient outcomes.
Model-written summary · the original posting is authoritative