Senior Machine Learning Engineer

il y a 1 jour


Montreuil, France Younited Temps plein
? **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.
* 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')
### ? 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

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