Platform Engineer Machine Learning (Utah)

Responsibilities

• Develop and enhance the machine learning platform to manage the full model life cycle
• Create frameworks and tools to enable the data science team developing and enhancing predictive models
• Support scalable real-time predictions in production
• Design and implement data engineering solutions for model training
• Expand NLP capabilities with advanced analysis techniques to improve text understanding
• Design and implement high-performance, scalable services and applications
• Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation
• Perform in-depth technical and performance analyses to troubleshoot production issues
• Maintain production systems for reliability and efficiency

Requirements

• Minimum Requirements (Education, certifications and experience):
  • Bachelor’s degree in Computer Science or related area, Masters preferred
  • 7+ years of professional experience writing Python or Java code, with at least 3 years building data platforms
  • Expert proficiency with SQL
  • Seasoned practitioner of engineering best practices such as CI/CD and automated testing
  • Comfort working in a Linux environment
  • Proven track record of successful delivery of progressively complex technical projects
  • Coaching and mentoring junior engineers in the team
  • Team player DNA with a positive, self-starter attitude
  • Attention to detail, highly organized, with an absolute focus on quality of work
• Preferred Requirements:
  • Familiarity with ClearML, Triton, PyTorch, and TensorFlow
  • Familiarity with statistics and healthcare domain
  • Proven expertise in successful large project/build management and execution