Machine Learning Engineer

FairMoney is hiring!


FairMoney is building the leading mobile bank for emerging markets.

We started with a digital microloans application on Android, and currently roll out additional financial services (current account, savings, debit card) while expanding the product to Western Africa and South-East Asia.
So far we disbursed close to 500,000 microloans and give more than 5000 loans daily. we are backed by top notch US/EU investors and have raised 15m EUR + Venture Capital supporting our stellar growth.

We are a team of 60 between Paris and Lagos in Engineering (Android, Data, Backend), Product, Marketing, Customer Service and Operations.

Our Values

  • Start with the client, never assume πŸ“Š
  • Churn 9-5 🎯
  • Care for Impact πŸ₯°
  • A - Players only πŸ’ͺ
  • Fly High - Fly Low πŸ™Œ
  • Young & Hungry πŸ‹οΈ
  • Progress starts where comfort ends πŸ‘ŠπŸΎ
  • 70/30 ⚑
  • Direct Feedback 🀝
  • Logic and Data wins over β€œI think” πŸ’₯

More info here.[]

Job Description

You will be working as our Machine Learning Engineer in our Tech Division which is now composed of 11 people. You will be in our Data Team with Jadd and Loic who are our Data Scientists. As you may understand, you will be our first Machine Learning Engineer !

Your mission will be to put into production and monitor the machine learning models developed by the data scientists to allow them iterating faster. Your objective is to help Fairmoney to continuously improve its risk scoring (default) and fraud detection models in order to make the best decision on the loan offered to the client.

We are waiting from you to work on :

  • Improving our models release;
  • Bringing the deployed models to life over time;
  • Implementing best practices to ensure easy deployment of new models and new features.

πŸ”§ Our technical Stack

  • Our customer product is an android application
  • It communicates with a Ruby on Rails backend (sikekiq, rspec)
  • Our ML pipeline is an API-flask (Python)
  • We are hosted on AWS: we use Elastic Beanstalk, a RDS Aurora mysql database, S3, Kinesis (data-stream, firehose)
  • Prototype of a data warehouse on GCP (GCS, BigQuery, Cloud Composer)
  • We have automated tests that run on Travis

Preferred Experience

  • 2-5 years of experience as a machine learning engineer;
  • You have an Engineering or University Diploma (we are also open to self-taught with 5 years experience in machine learning);
  • You have very good programming skills on Python;
  • You have an experience with releasing and monitoring model in production;
  • You have an experience with model training.

🎁 What do we offer 🎁

  • 50 % Health insurance provided by Alan (quick & easy);
  • Free snacks for the team provided by Totem;
  • 50% of your Navigo Pass;
  • 1.5kEUR per year for your training and personal development;
  • Gymlib (Partly paid by the company)
  • 1 month of paid salary if you’re the second parent because your children are babies only once..!

Recruitment Process

  • Phone screening of 30 minutes with Maud - our Technical Recruiter,
  • Technical Test,
  • Face-to-Face interview,
  • Meeting with the team.

Additional Information

  • Contract Type: Full-Time
  • Location: Paris, France (75010)
  • Education Level: Master's Degree
  • Experience: > 2 years
  • Possible full remote