Data Engineer
Indexed description
The Ideal Profile Is
- A data engineer who understands the challenges of MLOps (feature preparation, training, tuning, and inference).
- A python development enthusiast, capable of juggling libraries and frameworks.
- A software craftsman capable of working with Quants and Data Scientists to solve problems related to the Machine Learning model lifecycle (e.g., setting up training pipelines).
Requirements
Python V3 Expert (+10 ans)
Big Data Architecture & Technologies Senior (8 ans < x <= 10 ans)
Databricks Junior (< 3 ans)
Esprit d'analyse et de synthèse Senior (8 ans < x <= 10 ans)
Machine Learning Avancé (5 ans < x <= 8 ans)
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