Senior Machine Learning Engineer F - m H/F - Younited Credit Paris 9e - 75

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 responsabilities :
1. 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.

2. 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.

3. 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.

4. 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-
Education : Master's or PhD in Computer Science, Data Science, Applied Mathematics, or a related field.
- Experience : 5+ years 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).
- 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.

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 :
- His view on the working approach at Younited 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.

Other benefits from joining Younited ?
- Offices in the center of Paris (9th)
- An international work environment and the opportunity to do a mission in one of our international offices (Barcelona, Lisbon and Roma)
- An entrepreneurship mindset and a teamwork spirit
- An individualized managerial and HR support during onboarding and throughout the Younited journey
- A continuous learning environment with the opportunity to take individual and collective trainings
- A particular attention to the work/life balance
- Support for young parents, including the opportunity of being part-time the week of return to the office
- - Hybrid remote policy (until 2 remote days per week)
- 33 days of paid leave
- Luncheon voucher card
- Team buildings in France, internationally and within your team