📋 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

• A flexible remote policy: from 8 days of remote per month

• 33 days of paid leave

• Luncheon voucher card

• Team buildings in France, internationally (the famous YouniTour) and within your team

• A first video chat with Aurélien, 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’)

• Interview with a Lead Data Scientist (60’)