“Très bonne entreprise,...”
Maureen H - Recruteuse en stage
20 weeks in 2023
Très bonne entreprise, très compréhensive et laisse beaucoup de libertés pour décider comment on s'organise.
Point négatif, peu d'accompagnement (mais Onboarding tout de même et ouverts à aider si on demandait de l'aide)
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Pros: Liberté de choix, beaucoup de tâches à faire,
Cons: Accompagnement
Written on
04/09/2023
“Accelerated ML model infere...”
Romain G - Data Development Intern
52 weeks in 2025
• Accelerated ML model inference by (OpenAI CLIP 13x, Florence 4x) through CUDA-enabled Docker containers
running on cost effective AWS GPU instances.
• Improved batching capabilities from one image per batch on GPU to sixty-four by building GPU
memory/performance monitoring tools and implementing Pytorch Dataloaders.
• Constructed ETL pipelines to extract OpenSearch embeddings. Enhanced runtime of dimensionality reduction
and clustering algorithms with RAPIDS cuML GPU libraries. Helped create POC for interactive Voxel51
visualizations.
• Managed AWS PostgreSQL databases using SQL Alchemy and Pandas. Upgraded Grafana and Dash dashboards
with real-time metrics. Developed in-house reverse geocoding algorithm, accelerated with multiprocessing,
helped verify data validity.
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Pros: Content of the Intership, the team
Cons: Less budget for team events
Written on
26/07/2025
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