Job Description
Backend and frontend are fully built and documented with clear README instructions. The API is live, database connected, and event tracking infrastructure is in place.
We need an ML engineer to own and evolve the intelligence layer of a clothing size recommendation product.
This is not a greenfield build, the system is operational and ML-ready.
What you'll build:
- Recommendation model trained on user selection behavior
- Users like you similarity algorithm for social proof signals
- A/B testing framework comparing AI vs ML model accuracy
- Python backend, Supabase (Postgres), REST API endpoints already in place.
Ensure outputs align cleanly with the existing web dashboard + Chrome extension (both already built just need accurate endpoint connection)
Contract duration of 1 to 3 months.
Mandatory skills: Python, Machine Learning, Data Analysis, RESTful API, Supabase, TypeScript, Google Chrome Extension
We need an ML engineer to own and evolve the intelligence layer of a clothing size recommendation product.
This is not a greenfield build, the system is operational and ML-ready.
What you'll build:
- Recommendation model trained on user selection behavior
- Users like you similarity algorithm for social proof signals
- A/B testing framework comparing AI vs ML model accuracy
- Python backend, Supabase (Postgres), REST API endpoints already in place.
Ensure outputs align cleanly with the existing web dashboard + Chrome extension (both already built just need accurate endpoint connection)
Contract duration of 1 to 3 months.
Mandatory skills: Python, Machine Learning, Data Analysis, RESTful API, Supabase, TypeScript, Google Chrome Extension
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