Foundational ML Engineer - Build Scalable MLOps & AI Infra

Vestiaire Collective; Paris; Hybride; EUR 70 000 - 90 000; Plein temps

Avantages offerts par ce poste

Purpose-driven work

Career acceleration opportunities

Flexible working arrangements

Competitive compensation & benefits

Résumé du poste

Vestiaire Collective is looking for a Foundational Machine Learning Engineer to develop MLOps infrastructure. The role involves scaling ML capabilities focusing on fraud detection and product authentication, requiring strong collaboration with data scientists and engineers.

Ideal candidates have extensive experience in ML engineering, infrastructure, and deployment, and will contribute to the organization's AI/ML initiatives across a diverse, international team.

Qualifications

• 5-8+ years of hands-on experience in Machine Learning Engineering.
• Proven expertise in deploying low-latency, high-throughput ML inference services.
• Strong experience in building automated, continuous model retraining pipelines.

Responsabilités

• Partner with Operations squads and Data Scientists to accelerate ML prototypes.
• Lead foundational groundwork for ML lifecycle and design robust systems.
• Centralize foundational role in the AI/ML organization.

Connaissances

Machine Learning Engineering

MLOps Infrastructure

AWS

FastAPI

Containerization

Cross-functional Collaboration

Outils

PyTorch

TensorFlow

MLflow

Docker

Kubernetes

Description du poste

Vestiaire Collective is looking for a Foundational Machine Learning Engineer to develop MLOps infrastructure. The role involves scaling ML capabilities focusing on fraud detection and product authentication, requiring strong collaboration with data scientists and engineers.

Ideal candidates have extensive experience in ML engineering, infrastructure, and deployment, and will contribute to the organization's AI/ML initiatives across a diverse, international team.