Ml/ai Engineer

il y a 2 semaines


Paris, France Qonto Temps plein

**Our mission**? Creating the freedom for SMEs to succeed in business and beyond, by delivering Europe’s leading finance workspace. We combine business-class tools (seamless invoicing, spend management, and pre-accounting) with unwaveringly attentive 24/7 support, designed to help businesses breeze through all things finance.

**Our journey**: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 500,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French ranking

**Our values**:
**Customer focus |** Prioritize customers in everything you do

**Ownership |** Own your part, get things done

**Teamwork |** Make (team)work easy

**Mastery |** Continuously raise the bar

**Integrity |** Always do what’s right, and respect people

**Our beliefs**: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 50% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality.

Discover the steps we took to create a discrimination-free hiring process.

**Location**:_You can choose to work in Qonto as long as you're living in (or willing to relocate to) either _**_Germany_**_, _**_France_**_, _**_Italy_**_, _**_Serbia, Portugal,_**_ or _**_Spain_**_._

Join us as an** ML/AI** **Engineer** to crack the next generation of **AI-native solutions** and **remove friction once and for all**for business finance.

**‍ As an ML/AI Engineer at Qonto, you will**
- **Drive ML-powered innovation**: Be at the heart of Qonto’s AI journey, designing and launching prototypes that push the boundaries of what’s possible for our customers.
- **Build with velocity and rigor**: Deliver tangible ML features and experiments at a rapid pace, blending technical excellence with product intuition.
- **Own the full ML lifecycle**: From data exploration and model development to deployment and monitoring—you’re accountable for the outcome and learning at every stage.
- **Collaborate across disciplines**: Partner closely with engineers, product managers, and data scientists to ensure every solution is both technically robust and business-relevant.
- **Shape the technical vision**: Influence the choice of tools, frameworks, and infra—experimenting with cutting-edge GenAI, scalable cloud platforms, and modern ML ops practices.

**About Your Future Manager**

You’ll collaborate closely with **Sophie**, our accomplished product lead. With years of experience driving product strategy and delivery in both fast-growing startups and established tech companies, Sophie has a proven track record of turning vision into reality. She’s led cross-functional teams through the entire product lifecycle, from discovery to launch, always with a laser focus on solving real customer problems.

**About You**
- **AI Systems Builder**: You deliver robust, end-to-end AI solutions—not just models, but full products.
- **Modern AI Expertise**: You have hands-on experience with LLMs, RAG, prompt engineering, and agent-based systems.
- **Full-Stack Skills**: You’re comfortable across backend and frontend, able to productionize ML models.
- **Cutting-Edge Mindset**: You thrive on experimenting, learning fast, and using new AI tools and frameworks.
- **Ownership & Collaboration**: You take responsibility for impact, communicate clearly, and adapt to feedback.
- **Customer Focus & Integrity**: You prioritize user value and act with transparency.
- **Language**: Fluent in English.**Perks**

A tailor-made and dynamic career track. An inclusive work environment. And so much more to help you succeed.
- Offices in Paris, Berlin, Milan, Barcelona, and Belgrade;
- Competitive salary package;
- A meal voucher;
- Public transportation reimbursement (part or global);
- A great health insurance (depending on the country);
- Employee well-being initiatives: access to Moka Care to take care of your mental health and great offers for sports and wellness activities;
- A progressive disability and parenthood policy (1 in 6 of Qonto employees is a parent) and childcare benefits with selected partners;
- Monthly team events.

**Our hiring process**:

- Interviews with your Talent Acquisition Manager and future managers
- A remote exercise to demonstrate your skills and give you a taste of what working at Qonto could be like

Find more information about our interview process on our careers website.

On average, our process lasts **20 working days** and offers usually follow within **48 hours**

To learn more about us:
Qonto's Blog | Les Échos I L'Usine Digitale | Courrier Cadres


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