Senior Machine Learning Engineer F - M H/F Younited Credit
Paris 9e - 75 CDI- Télétravail occasionnel
- Bac +5
- Banque • Assurance • Finance
Détail du poste
Context
As a Senior Machine Learning Engineer, you will lead the design, 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 :
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.
Le profil recherché
- Master's or PhD in Computer Science, Data Science, Applied Mathematics, or a related field.
- 3+ years in Machine Learning Engineering, with proven experience deploying and managing production-grade ML systems.
Hard Skills :
- 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.
Soft skills :
- 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.
Hellowork a estimé le salaire pour ce métier à Paris
Le recruteur n'a pas communiqué le salaire de cette offre mais Hellowork vous propose une estimation (fourchette variable selon l'expérience).
Estimation basée sur les données INSEE et les offres d’emploi similaires.
Estimation basse
43 800 € / an 3 650 € / mois 24,07 € / heureSalaire brut estimé
52 500 € / an 4 375 € / mois 28,85 € / heureEstimation haute
65 000 € / an 5 417 € / mois 35,71 € / heureCette information vous semble-t-elle utile ?
Merci pour votre retour !
- Paris 9e - 75
- CDI
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