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Sponsored by CareerFoundryVestiaire Collective is the leading global online marketplace for desirable pre-loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh and Hong Kong and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York.
We currently have a diverse global team of 700 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective. We are proud to be a BCorp.
Vestiaire Collective is looking for a Data Engineer Intern to join our AI Foundation Team.
About the Role 🖥️
You’ll be joining a dynamic and growing AI Foundation team on a mission to:“Empower data scientists, engineers, and business teams to adopt ML and GenAI effectively, safely, and at scale.” As a Data Engineer Intern, you’ll work closely with a Senior Data Engineer and a group of passionate data scientists committed to mentoring and supporting your growth.
This internship offers a unique opportunity to dive into GenAI and MLOps while contributing to real-world solutions. You’ll help improve our internal productivity tools powered by LLMs and take part in maintaining and enhancing our ML Platform, making it easier for data scientists across Vestiaire Collective to build better models, faster.
Beyond the code, your ideas will count: you'll be encouraged to contribute to roadmap and strategy discussions.
What You Will Do 👜
Gain hands-on experience with cutting-edge technologies (LLMs, Vector Search, Kubernetes, Airflow, Docker etc.)
Work directly with data engineers and data scientists on impactful projects, including Vaichat, our internal AI assistant
Help develop innovative GenAI features and data pipelines for our chatbot
Explore and evaluate new LLM tools and frameworks to shape our next steps
Assist in designing and maintaining MLOps workflows and tools to support best practices in Data Science
Learn and work with modern cloud services and open-source tools (AWS, Snowflake, OpenSearch, MLFlow, LLMs… and anything else you’re excited to try!)
Who You Are ⭐
You’re currently pursuing a Master’s degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related field
You are fluent in English (French is a plus)
You have programming skills (Python preferred) and understand the basics of software development
You’re curious, solution-oriented, and a great communicator
You’re excited about data engineering, GenAI, and cloud computing
Bonus points if you’ve played with tools like Docker, MLFlow, Airflow, AWS/GCP, LLMs, or CI/CD pipelines.
