Jobs · empllo
ML Engineer
Keystone AI · Europe · Posted 10d ago
About the role
Design and deploy probability of default models and credit-limit strategies in a FinTech environment.
📋 Description Design, train, and deploy probability of default models. Build credit-limit strategies. Discover AI/ML opportunities to boost efficiency and revenue (collections, fraud control, conversion uplift). Analyse data sources and engineer features for modelling. Produce and update internal model documentation. Implement model monitoring. 🎯 Requirements 7+ years’ experience in ML/DS, 3+ years in credit-lending. PD models productionisation and credit-limit strategies. Advanced Python proficiency and solid ML algorithms. Ability to write, structure, and optimise complex SQL queries. Deep understanding of online lending workflows. English: Intermediate (B1) or higher. 🎁 Benefits Join a fast-scaling FinTech where your decisions shape the business. 20 paid days off annually, flexible schedule, people-first culture. Partial compensation for medical insurance, sports, and language. Work in an international, agile team with modern tools and purpose.
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FAQ
Is the ML Engineer role at Keystone AI remote?+
This ML Engineer position is listed as remote (Europe).
What is the salary for the ML Engineer role at Keystone AI?+
The listing states Estimated 140k-263k USD.
What seniority level is this ML Engineer role?+
This is a senior level position.
How do I apply for the ML Engineer role at Keystone AI?+
Use the "Apply on empllo" button to open the original posting on empllo, where you can submit your application directly to Keystone AI.