ML Engineer Intern — Fintech Risk & Production ML (Hybrid)

United States Digital Space LLC; Paris (TX); On-site; USD 18,000 - 23,000; Full time

Benefits offered by this job

Hybrid schedule

Gympass

Lunch card

Transit subsidy

Team events

Paid time off

Inclusive culture

Job summary

Qonto, a leading European fintech, is seeking a Machine Learning Intern to support the Quantitative Risk team in building better ML tools, monitoring model performance, and managing credit risk. Over a 6-month program, you will work closely with the Head of Quantitative Risk and be mentored by the ML Engineer.

You will formalize modeling guidelines and contribute to inflation-proof documentation, while helping strengthen CI pipelines and tooling for production deployment.

Qualifications

• Proficient in Python with production-ready coding practices.
• Strong foundations in ML concepts including evaluation and time-series methods.
• Ability to write clear guidelines and reports for non-technical audiences.

Responsibilities

• Formalize modeling guidelines and ensure models are high-quality and audit-ready.
• Support model risk documentation for regulators and internal teams.
• Help strengthen ML infrastructure and CI pipelines for reliable deployment.

Skills

Python

ML basics

Technical writing

AI workflows

English fluency

Tools

Python

CI pipelines

Job description

Qonto, a leading European fintech, is seeking a Machine Learning Intern to support the Quantitative Risk team in building better ML tools, monitoring model performance, and managing credit risk. Over a 6-month program, you will work closely with the Head of Quantitative Risk and be mentored by the ML Engineer.

You will formalize modeling guidelines and contribute to inflation-proof documentation, while helping strengthen CI pipelines and tooling for production deployment.