Design, build, and deploy production-grade machine learning systems. Translate ambiguous problem spaces into reliable, scalable solutions.

Requirements

  • Strong experience building production ML/data pipelines
  • Hands-on experience with Python backend development
  • Practical experience with information extraction / NLP pipelines
  • Experience designing hybrid ML systems
  • Ability to evaluate ML system performance rigorously
  • Experience deploying and operating systems in production

Benefits

  • Small, collaborative team with a high degree of ownership
  • Product-focused development with an emphasis on practical outcomes
  • Opportunity to work on complex, real-world data challenges