Senior Machine Learning Engineer (F/M)

JR France; Les Ulis; Sur place; EUR 55 000 - 80 000; Plein temps

Résumé du poste

Younited recherche un Ingénieur Senior en Machine Learning pour diriger le déploiement et l'optimisation de modèles ML dans divers cas d'utilisation. Le candidat idéal devrait avoir un Master ou un PhD, ainsi que plus de 3 ans d'expérience dans le domaine, maîtrisant Python et les pratiques MLOps. Rejoignez une entreprise innovante qui vise à redéfinir les pratiques de crédit et de paiement grâce à l'IA.

Qualifications

• Master ou PhD en Informatique, Data Science ou champ apparenté.
• 3+ ans en ingénierie de machine learning avec expérience prouvée dans les systèmes ML.

Responsabilités

• Diriger le déploiement des modèles d'IA/ML en production.
• Architecturer et maintenir des plateformes ML évolutives.
• Définir et appliquer les meilleures pratiques en développement de modèles.

Connaissances

Python

MLOps

GCP

Deep Learning

CI/CD

Formation

Master en Informatique

PhD en Data Science

Description du poste

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Younited

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Job Reference:

770623099624017100832760

Job Views:

2

Posted:

11.06.2025

Expiry Date:

26.07.2025

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Job Description:

At Younited, we believe money allows people to purchase goods & services and realize their dreams, but today’s banking products are opaque & overly complex.

Here, we leverage innovation & cutting-edge technology to redefine lending and payment practices, to provide exceptional user experience

More than a million customers already had access to our instant, simple & transparent credit, and we are just getting started.

We both provide credit & payment solutions directly to consumers (Younited Credit / Younited Pay) & via partners (banks, fintech & insurers who wish to develop consumer loan activities and retailers, telcos, e-merchants who wish to offer their customers the simplest method to pay in several times). We also provide budget optimization solutions through “Younited Coach” to all consumers willing to receive personalized recommendations.

Our mission is to become your trusted financial partner. In this respect, our strategy aims at promoting more transparency and more inclusiveness to help you achieve financial wellbeing.

We have initiated a B-Corp certification process, our social and environmental impact being at the heart of our strategic concerns.

So join Younited, the leading instant credit provider for the e‐economy in Europe! Be part of an amazing adventure that is only at its beginning…

Some key figures about Younited group:

· Younited operates in 4 European countries and generates nearly 50% of its business outside France.

· Younited employs about 500 Younies in Paris, Rome, Barcelona and Lisbon.

Younited is already trusted by prestigious E-merchant and Digital Bank partners among which Iliad, Bouygues Telecom, Microsoft, Bpifrance, Apple, N26, Fortuneo, Smeg and Thermomix.

· Make it simple: At every level of the customer experience, the organization. Be transparent.

· Act as an entrepreneur: Take ownership, work in teams. Dare to try, accept to fail.

· Innovate or die: Challenge the status quo, no matter how impossible it seems.

· Faster is better: Value speed over perfection. Be aligned on priorities.

· No limit: Shot for the moon, stay humble.

We empower passionate problem-solvers to collaborate, innovate and do their best work.

We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our customers and our partners. And we need your help. So, join us to build tomorrow, today.

If you want to know more, click here: https://younited.com/about-us/careers/

? Context

As a Senior Machine Learning Engineer, you will lead the design, deployment, and optimization of ML/AI models across diverse use cases, from credit scoring to document analysis and generative AI. You’ll also shape best practices, build tools, and act as a key advocate for ML engineering excellence within and outside the organization.

Your responsibilities :

Model Deployment and Optimization :

- Lead the deployment of ML/AI models in production, ensuring scalability, efficiency, and robustness.

- Automate and monitor inference pipelines, continuously improving performance.

Infrastructure and Tools Development :

- Architect and maintain scalable ML platforms and pipelines (MLOps) for lifecycle management.

- Develop and integrate CI/CD solutions tailored to ML workflows.

- Optimize cloud resources (primarily Google Cloud Platform) for cost-effectiveness and high performance.

Governance and Best Practices :

- Define and enforce best practices in model development, testing, monitoring, and governance.

- Ensure traceability, security, and integrity of production models.

- Maintain comprehensive and accessible documentation for tools, processes, and pipelines.

Internal Knowledge Sharing and Technology Watch :

- Share insights, methodologies, and innovations with internal teams to foster knowledge sharing.

- Lead technical workshops and discussions to promote a strong culture of engineering excellence within the company.

- Stay at the forefront of ML technologies and frameworks through continuous research and exploration.

? About your profile

Qualifications :

- Master’s or PhD in Computer Science, Data Science, Applied Mathematics, or a related field.

- 3+ years in Machine Learning Engineering, with proven experience deploying and managing production-grade ML systems.

Hard Skills :

- Advanced expertise in Python and ML frameworks (PyTorch, scikit-learn, etc.).

- Deep understanding of Google Cloud Platform (GCP) and its services (Vertex AI, BigQuery, Cloud Functions).

- Mastery of MLOps practices (CI/CD, Docker, model registry).

- Familiarity with generative AI technologies and large-scale model deployment.

- Strong ability to document and communicate complex technical workflows.

- Strategic thinking and a focus on impactful, scalable solutions.

- Proactive and autonomous, with a passion for driving technical excellence.

- Collaborative mindset, with the ability to align cross-departmental goals.

- Business acumen and result-oriented approach, with a clear understanding of business challenges and the ability to align technical solutions with strategic objectives.

? Recruitment process

- A first video chat with Arthur, Talent Acquisition Manager, to get to know each other and tell you more about Younited, our corporate culture & values (30’)

- An Interview with Guillaume, Head of Data to discuss about the role and expectations (60')

- Online Technical Test

- A Business Case to assess your skills (60')

- An interview with Julien (Lead Data Scientist) & Robin (Lead Analytics Engineer) (60')