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
Originally posted on Himalayas