All offersWarszawaPythonMachine Learning Engineer (Python)
Machine Learning Engineer (Python)
Python
Nethone

Machine Learning Engineer (Python)

Nethone
Warszawa
Type of work
Undetermined
Experience
Mid
Employment Type
B2B
Operating mode
Office
Nethone

Nethone

Nethone is a machine learning-based fraud prevention Saas company that allows online merchants and financial institutions to holistically understand their end-users—also referred to as “Know Your Users (KYU)” in industry parlance.

Company profile

Tech stack

    Python
    advanced
    SQL
    regular
    TensorFlow
    regular
    Keras
    regular
    Pandas
    junior
    NumPy
    junior
    sklearn
    junior

Job description

Nethone is looking for a Machine Learning Engineer. As a company we are specialised in AI-driven business intelligence and fraud prevention. Nethone enables online merchants to sell more, earn more, and maximise every dollar they invest in risk management and customer acquisition.

What will you do:
  • Building machine learning models to detect:
    • fraudulent behavior in payments
    • identity theft or account takeover
    • cheating in online games
    • satellite hijacking (really!)
  • Dissect data, look for hints of fraudulent activity
  • Present your findings to Nethone’s clients
  • You’ll be a part of a team consisting of experienced data scientists, machine learning engineers and Python developers


Requirements:
  • Fluent command of Python for machine learning (pandas, numpy, sklearn, etc.)
  • Very good knowledge of machine and deep learning frameworks (Tensorflow, Keras, etc.)
  • Familiarity with SQL, Postgres-specific flavor is a plus
  • Very good understanding of statistics
  • At least a year of professional experience, we welcome more experienced candidates as well
  • Very good command of English

Appreciated assets:
  • Ability to communicate with B2B client about technical aspects of data science
  • Previous experience in programming (especially in Python)
  • Understanding of both technical and business languages
  • Previous experience with credit scoring or fraud detection

We offer:
  • Attractive salary adequate to the skills and experience
  • Medical and sports benefits package
  • Flexible working hours
  • Great development opportunities
  • Friendly inspiring atmosphere
  • Fresh fruit and tasty coffee
  • Inhouse library with books on coolest technologies and inhouse training sessions
  • Chillroom with many cool things (PS4, Nintendo Switch, board games)

We thank all applicants for your interest, however only candidates selected for interviews will be contacted.