ML Engineer — Fraud Detection Model

Deepwave Systems

Remote · $10K – $20K fixed · Freelance · Posted 7 months ago

This role is no longer accepting applications

Don't miss the next role like this

Create a free profile with your skills. We match you to new AI roles as they open, and companies hiring can contact you directly.

Create free profile, 2 minutes

Similar open roles you can apply to now:

See all open AI jobs

This role is no longer accepting applications

Don't miss the next role like this

Create a free profile with your skills. We match you to new AI roles as they open, and companies hiring can contact you directly.

Create free profile, 2 minutes

Similar open roles you can apply to now:

See all open AI jobs

About the role

500k transactions/day. 2.3% false positive rate on fraud blocks. Every false positive is a declined legitimate transaction — real revenue, real customer friction. Our current system is a rules engine built in 2018. It's not learning, it can't adapt, and adding a new rule requires a 3-week change management process. We need a proper ML model. Constraints you need to know upfront: inference must run in under 30ms (we're latency-sensitive), the model needs to be interpretable enough that our compliance team can explain individual decisions, and class imbalance is severe (~0.1% fraud rate). We have 18 months of labelled transaction data, ~150M rows. Our internal team handles deployment — we need the trained model and clear documentation.

Fully remote.