Senior Machine Learning Engineer – AI Product

🕒 May 20

🇫🇷 France – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 39%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Qonto

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💳 Fintech

🤝 B2B

🏦 Banking

💰 $500k Grant on 2022-10

Fintech • B2B • Banking

Qonto is the leading European business finance solution that simplifies everything from everyday banking and financing to bookkeeping and spend management. Founded in July 2017 by Alexandre Prot and Steve Anavi, Qonto aims to energize SMEs and freelancers so that they can achieve more. With over 300,000 companies using its services and a workforce of around 900 employees, it stands out in the financial services sector as an innovative fintech solution.

📋 Description

• Develop models end-to-end from understanding product requirements to implementation and deployment • Align with stakeholders to ensure seamless integration of ML solutions • Design, train, evaluate, and iterate on ML models • Put models into production with robust technical implementation • Create an ML Ops framework for effective model scaling • Share best practices and mentor peers

🎯 Requirements

• 3+ years of experience as ML Engineer coupled with ML Ops • Experience developing client-facing products • Experience building and optimizing machine learning models for external clients • Proficient in writing resilient, high-quality, testable code in Python • Understanding of integration with third-party services and databases at scale • Familiarity with FastAPI or similar web frameworks • Proven track record of identifying complex problems and implementing effective solutions in machine learning contexts • Proactive in improving processes • Fluent in English

🏖️ Benefits

• Unlimited access to AI tools • Mentoring opportunities • Clear individual contributor track