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Senior Software Engineer
Il y a 3 mois
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Senior ML Engineer
Il y a 2 mois
As part of the IA team you will be responsible for designing, implementing, and deploying scalable and efficient machine learning algorithms to solve complex business problems.
Also responsible of the lifecycle of models, once deployed in production environments by :
- Managing the lifecycle of machine learning models
- Ensure that models are accurate, efficient, reliable, and scalable
- Development of data science assets
- Be an active member of the group Data Science Community
- Continuous Improvements / Stay up to date with the latest developments in the field
Statistics : Strong understanding of statistical analysis and modelling techniques (e.g., regression analysis, hypothesis testing, time series analysis)
Classical ML : Very strong knowledge in classical ML algorithms for regression & classification, supervised and unsupervised machine learning, both theoretical and practical (e.g. using scikit-learn, xgboost)
ML niche: Expertise in at least one of the following ML specialisations: Timeseries forecasting / Natural Language Processing / Computer Vision
Deep Learning: Good knowledge of Deep Learning fundamentals (CNN, RNN, transformer architecture, attention mechanism, …) and one of the deep learning frameworks (pytorch, tensorflow, keras)
Engineering Master’s degree or PhD in Data Science, Statistics, Mathematics, or related fields
5 years+ experience in a Data Scientist / Machine Learning Engineer role into large corporate organizations
Experience of working with ML models in a cloud ecosystem
Location : Paris
