Machine Learning Engineer

il y a 1 jour


Paris, Île-de-France Younited Temps plein
Job Description

We are seeking a Senior Machine Learning Engineer to lead the deployment and optimization of ML/AI models across diverse use cases, from credit scoring to document analysis and generative AI.

About Younited

At Younited, we believe that money should allow people to purchase goods & services and realize their dreams. Our goal is to redefine lending and payment practices to provide an exceptional user experience. We achieve this by leveraging innovation and cutting-edge technology.

We have initiated a B-Corp certification process, putting social and environmental impact at the heart of our strategic concerns. Younited is already trusted by prestigious E-merchant and Digital Bank partners, including Free, Bouygues Telecom, Orange Bank, Microsoft, Bpifrance, Apple, N26, Fortuneo, and Lydia.

The Role

As a Senior Machine Learning Engineer, you will be responsible for leading the deployment of ML/AI models in production, ensuring scalability, efficiency, and robustness. This includes defining and enforcing best practices in model development, testing, monitoring, and governance, as well as ensuring traceability, security, and integrity of production models.

Requirements
  • A Master's or PhD in Computer Science, Data Science, Applied Mathematics, or a related field.
  • 5+ years of experience in Machine Learning Engineering, with proven experience deploying and managing production-grade ML systems.
  • 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).
What We Offer

We offer a competitive salary package, including 33 days of paid leave, luncheon vouchers worth €10, and a flexible remote policy. Additionally, we provide support for young parents, including part-time options and flexible work arrangements.

You will also have the opportunity to work with a talented team, collaborate with experts in the field, and contribute to the development of innovative technologies. If you're passionate about machine learning and data innovation, we encourage you to apply.



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