Foundational ML Engineer - Hybrid MLOps & Scale

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

Avantages offerts par ce poste

Health coverage

Lunch vouchers

Gym-Pass

Competitive compensation

Résumé du poste

Vestiaire Collective is seeking a Foundational Machine Learning Engineer to build MLOps infrastructure from the ground up. Your focus will include driving AI authentication initiatives and scaling ML capabilities across search and recommendations.

The ideal candidate will have 5-8+ years in ML engineering, specifically on infrastructure. Join our diverse team in Paris and help reshape the fashion industry towards zero waste.

Qualifications

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

Responsabilités

• Partner closely with Operations squads and Data Scientists for ML prototypes.
• Lead the foundational groundwork of ML lifecycle systems.
• Transition into a centralised foundational role for ML engineering.

Connaissances

Machine Learning Engineering

MLOps infrastructure

AWS expertise

Pipeline automation

Model tracking

Outils

FastAPI

Docker

Terraform

MLflow

Description du poste

Vestiaire Collective is seeking a Foundational Machine Learning Engineer to build MLOps infrastructure from the ground up. Your focus will include driving AI authentication initiatives and scaling ML capabilities across search and recommendations.

The ideal candidate will have 5-8+ years in ML engineering, specifically on infrastructure. Join our diverse team in Paris and help reshape the fashion industry towards zero waste.