Please let Vestiaire Collective know you found this job on RemoteYeah. This helps us get more companies to post jobs here for you.
Description:
- Seeking a Foundational Machine Learning Engineer to build MLOps infrastructure at Vestiaire Collective.
- Focus on AI authentication initiatives and scaling ML capabilities across the marketplace.
Requirements:
- 5-8+ years of experience in Machine Learning Engineering, specifically in MLOps infrastructure.
- Proven expertise in deploying low-latency ML inference services (FastAPI, TorchServe, etc.) and experience with AWS.
- Deep experience in building automated model retraining pipelines and orchestrating multi-model architectures.
- Hands-on experience with online and offline Feature Stores in production environments.
- Strong cross-functional communication skills and ability to translate ML prototypes into scalable production code.
Benefits:
- Purpose-driven work contributing to sustainable fashion.
- High-impact scope with immediate effects on millions of users.
- International work environment with a diverse team.
- Career acceleration opportunities in a fast-moving scale-up.
- Learning and growth prioritized with a dedicated budget.
- Flexible working model with hybrid options.
- Paid days to support a cause of choice and competitive compensation.
Job title
Job type
Required experience
5 years
Salary
-
Degree requirement
No degree requiredSkills
Location requirements
-
Benefits
Related jobs
Search More Machine Learning Engineer Jobs
No related jobs found.