Senior Machine Learning Engineer
Il y a 2 mois
**Our mission**? Making day-to-day banking easier for SMEs and freelancers thanks to an online business account that's combined with invoicing, bookkeeping and spend management tools. Thanks to its innovative product, highly reactive 24/7 customer support and clear pricing, Qonto has become the leader in its market.
**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.
Are you a talented Machine Learning Engineer ready to make a significant impact? Qonto invites you to join our dynamic **Fraud Security team**, working alongside **three experienced ML Engineers** to create, deploy, and train powerful machine learning models.
- **Your mission?** Elevate our fraud detection capabilities and ensure the security of Qonto's clients' assets by staying ahead of sophisticated fraudsters.
**As a Machine Learning Engineer at Qonto, you will**:
- **Develop and implement risk assessment models**, including enhancing our recently launched model for evaluating organizational scam risk.
- **Contribute to the entire development cycle**, from modeling and development to production deployment, infrastructure management, and incident handling.
- **Strengthen the team's machine learning capabilities**, complementing existing data product skills.
- **Mentor junior team members** and contribute to the team's growth and knowledge sharing.
- Engage in full-stack data engineering to craft robust ETL processes and maintain clean, structured data tables.
- Take full ownership of the ML infrastructure, utilizing tools like Kubernetes and AWS for efficient model deployment.
- Continuously improve existing models, balancing the creation of new solutions with the optimization of our current systems
**About your future Manager**:
You will work closely with Jérémy, our Lead Machine Learning Engineer
**What about him:
Jérémy leads the risk scoring and anti-fraud team with a pragmatic, results-oriented, and caring management style. He empowers team members to take ownership of their projects while providing support through weekly one-on-one meetings and open communication. Jérémy believes in fostering growth, encouraging skill development, and maintaining a trust-based environment where feedback is valued and micromanagement is avoided.
**What you can expect**:
**Team Context**: Join an autonomous, cutting-edge team combating financial fraud.
**Work Environment**: Experience a fast-paced, asynchronous, and decisive setting, emphasizing analysis and engineering excellence.
**Tools in Action**: Utilize top-notch infrastructure—Kubernetes, AWS, PostgreSQL, Snowflake, and Kafka—for efficient development.
**Building Everything**: Play a crucial role in shaping a startup-like ecosystem within our scaleup, contributing from the ground up.
**Ownership**: Master the entire process, own the roadmap, and foster openness to innovative ideas.
**Impactful Role**: Make a strong, visible impact, reporting directly to the Leadership team, shaping the future of our mission.
**About You**
**Mindset**: You naturally explore the data before building any model, you are proficient in feature engineering techniques to extract meaningful insights from complex datasets.
**User-focused and outcome-oriented**: You want to solve high-impact business problems and deliver value to our users in production
**Mastery**: You are proficient with Python, Pandas, CatBoost, and Scikit-learn. You care about the craft and champion high standards.
**Outcome-oriented**: You value simplicity and think impact first.
**Software Engineering best practices**: you document, version, and test your code systematically.
**Communication**: You appreciate the teamwork that data products typically require, and you have effective communication skills, to build alignment and articulate purpose.
**Language**: You are fluent in **English.**
Location: _You can choose to work in a _**_full-remote_**_ mode as long as you're living in (or willing to relocate to) either _**_Germany_**_, _**_France_**_, _**_Italy_**_, _**_Serbia_**_ or _**_Spain_**_._
**Perks**
A tailor-made and dynamic career track. An inclusive
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