Machine Learning Engineer

Vestiaire Collective

Machine Learning Engineer building MLOps infrastructure at Vestiaire Collective, driving AI authentication initiatives and expanding ML capabilities across the marketplace.

Posted 6/4/2026full-timeParis • 🇫🇷 FranceMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSEC2

About the role

Key responsibilities & impact

Build MLOps infrastructure from the ground up at Vestiaire Collective
Drive AI authentication initiatives focusing on luxury product authentication and counterfeit detection
Scale foundational architecture across the entire marketplace
Expand ML capabilities for search and recommendation systems
Design robust, decoupled architectures and spearhead the MLOps strategy

Requirements

What you’ll need

Experience: 5-8+ years of hands-on experience in Machine Learning Engineering
Proven expertise in deploying low-latency, high-throughput ML inference services
Strong preference for AWS (EKS, EC2, SageMaker)
Deep experience building automated, continuous model retraining pipelines
Hands-on experience evaluating, building, or extensively leveraging online and offline Feature Stores
Strong cross-functional communication skills

Benefits

Comp & perks

Purpose-driven work at scale
High-impact scope & ownership
A truly international environment
Career acceleration in a fast-moving scale-up
Learning & growth as a priority
Flexible ways of working
Give back through action
Competitive compensation & benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine Learning EngineeringML inference servicesautomated model retraining pipelinesFeature StoresMLOpsarchitecture designAI authenticationcounterfeit detectionsearch systemsrecommendation systems

Soft Skills

cross-functional communication