Senior Machine Learning Engineer (ML Fraud)
80% Flex
Offer summary
Qualifications: Minimum 6 years of experience in building ML models with a Bachelor's degree (PhD can count for up to 2 years of experience), Expertise in machine learning techniques like gradient boosting, online learning, and deep learning, Python programming proficiency, and experience with large scale systems.
Key responsabilities:
- Develop fraud prediction ML models using Affirm's internal data to prevent financial loss, protect identities, and enhance consumer trust
- Collaborate with teams to define product requirements and implement scalable data pipelines, features, and algorithms for production models
Job description
Required profile
Experience
Level of experience :
Senior (5-10 years)Industry :
Spoken language(s)
Check out the description to know which languages are mandatory.
Soft Skills
- Excellent communication skills to drive cross-functional requirements with other teams, ability to present technical concepts in an engaging way, persistence, patience, and sense of responsibility
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