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 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 is already trusted by prestigious E-merchant and Digital Bank partners among which Free, Bouygues Telecom, Orange Bank, Microsoft, Bpifrance, Apple, N26, Fortuneo and Lydia.
Our 5 corporate values drive our daily job :
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.
Context
As a Senior Machine Learning Engineer, you will lead the 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 :
Lead the deployment of ML / AI models in production, ensuring scalability, efficiency, and robustness.
Automate and monitor inference pipelines, continuously improving performance.
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.
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.
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
About your future manager
His background: Guillaume has been working at Younited for 3 years and leads the central Data team, which is composed of three sub-teams: Data Science & AI, Analytics Engineering, and Machine Learning Engineering. His perspective on Younited's working approach and the position:
The Machine Learning Engineer plays a key role, as they are responsible for deploying innovative and high-performing models into production, sometimes on the critical path of a credit application, while ensuring these implementations comply with our production standards. They also provide tools for data scientists to make model development as efficient as possible.
Recruitment process
Other benefits from joining Younited?
Younited is an Equal Opportunity Employer for any minority, disability, gender identity or sexual orientation.