3 mlops engineer jobs at 3 companies in Bountiful, UT
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Applied AI Health System Engineer – Senior Manager
New York or Raleigh or Charlotte or Chicago or Cincinnati or Cleveland or Columbia or Columbus or Dallas or Baltimore or Richmond or Rochester or Rosemont or Sacramento or Boston or St. Louis or Salt Lake City or San Antonio or San Diego or San Francisco or Silicon Valley or Seattle or Spartanburg or Stamford or Tampa or Atlanta or Toledo or Austin or Tulsa or Washington or Philadelphia or Phoenix or Pittsburgh or Portland or United States
$124k-$280k/yrOnsiteFull Time
PwC: Providing audit, tax, and management consulting services to businesses.
8+ YOEBachelor's degree; 8+ years in AI/GenAI in health systems; experience with MLOps, AI governance; cloud AI platforms; healthcare data processing; Snowflake/Databricks; able to translate clinical workflows into AI use cases.
Azure OpenAI Service, AWS Bedrock, Google Vertex AI, Snowflake, Databricks, MLOps, Model governance
RecursionNASDAQ: RXRX: Developing medicines using an AI-native drug discovery platform.
Hands-on technical manager/tech lead experience in MLOps, distributed systems, ML infrastructure, model deployment, GPU optimization, and mentoring engineers; familiarity with Python, PyTorch, containerization, orchestration, and cloud platforms.
AdvancedMD: Provides cloud clinical and financial software for medical practices.
5+ YOEBachelor's or Master's in CS/Engineering/Data Science,5+ years product management with 2+ years on AI/ML products,experience with ML lifecycle,MLOps,Python/SQL/APIs,TensorFlow/PyTorch;strong Agile and stakeholder skills.