Platform Engineer Machine Learning (Utah)
Core
Build and maintain the machine learning platform supporting the training and application of predictive models for extracting meaning from unstructured clinical documentation.
Role type
Senior Machine Learning Platform Engineer (Backend Services)
Builds
Scalable real-time prediction services, data engineering solutions for model training, and high-performance applications for the healthcare revenue cycle.
Domain
Healthcare / Clinical Data / MLOps
Deliverable
production ML models | infrastructure
Required skills
Python, Java, SQL, NLP, CI/CD, Linux, MLOps, Docker, Kubernetes, PostgreSQL, Kafka, REST API design, microservices, AWS/GCP
Preferred skills
ClearML, Triton, PyTorch, TensorFlow, statistics, healthcare domain knowledge, large project management
Technologies
ClearML, Triton, PyTorch, TensorFlow, PostgreSQL, Kafka, AWS, GCP
Responsibilities
Develop and enhance the machine learning platform to manage the full model life cycle; Build frameworks and tools to enable the data science team; Design and implement data engineering solutions for model training; Expand NLP capabilities with advanced analysis techniques; Design and implement high-performance, scalable services and applications; Perform in-depth technical and performance analyses to troubleshoot production issues; Monitor and maintain production systems for reliability and efficiency.
Seniority
Senior, hands-on IC with mentoring responsibilities