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il y a 5 jours


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RequirementsWhat do you need to succeed in this position?Master + 11 years of relevant experienceExperience in Machine Learning and Natural Language Processing.Excellent knowledge of Python and libraries (e.g. Pandas, SpaCy, NLTK, Hugging Face).Experience with deep learning frameworks for complex model architecture such as TensorFlow or PyTorch.Experience with AI-powered code assistants (e.g., Amazon Q, Github Copilot), staying updated with advancements in AI-driven code technologies.Good knowledge of SQL tooling (Oracle, PostgreSQL).Knowledge of NoSQL databases (Elasticsearch, MongoDB).Knowledge of architectural design of scalable ML solutions such as model servers, GPU resource optimisation.Experience with A/B testing and experimental design of ML models.Experience with pre-trained models and LLMs like GPT, and other Transformer-based architectures.Experience with tools like Matplotlib and Seaborn for creating data visualizations.Strong understanding of linguistics and text processing techniques.Proficient in continuous code delivery and unit testing.Understanding of bias in ML applications and bias mitigation techniques.Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), topic detection, plagiarismdetection, trends/anomalies detection in datasets, recommendation systems.Familiarity with leveraging graph science techniques to solve complex data problems within social networks, knowledge graphs.Proficiency in understanding and applying statistical concepts and models.Ability to formulate problems and develop solutions using data-driven approaches.Good communication skills in English, both orally and in written form.


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