Emplois actuels liés à Machine Learning engineer - Paris, Île-de-France - SKIILS SAS

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    il y a 3 semaines


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  • Paris, Île-de-France Oppizi Temps plein

    Machine Learning EngineerWe are seeking a highly skilled Machine Learning Engineer to contribute to the development of cutting-edge AI solutions at Oppizi. As a key member of our technology team, you will play a vital role in designing, implementing, and deploying machine learning models that drive business outcomes.Key Responsibilities:Model Development and...

Machine Learning engineer

Il y a 4 mois


Paris, Île-de-France SKIILS SAS Temps plein

En tant que ML Engineer , vous aurez l'occasion de :Développer et mettre en œuvre des modèles d'IA pour la planification de la demande dans le domaine de la supply chain.Collaborer avec les data scientists et les product managers pour traduire les exigences business en solutions d'apprentissage automatique évolutives.Collaborer avec les équipes de data engineers pour optimiser les pipelines de données et garantir la disponibilité en temps opportun de données propres et pertinentes pour la formation et l'inférence de modèles.Mettre en œuvre des stratégies de réentrainement et de versioning des modèles adaptées à l'évolution de la dynamique du marché et des exigences commerciales.Industrialiser et déployer des modèles de machine learning dans des environnements de production.Surveiller les performances du modèle et mettre en œuvre les améliorations pour garantir la robustesse et la fiabilité.Travailler en étroite collaboration avec des équipes interfonctionnelles pour intégrer les capacités d'apprentissage automatique dans les systèmes et processus existants.Documenter les meilleures pratiques, les procédures opérationnelles standard et les spécifications techniques pour les modèles d'apprentissage automatique et les processus de déploiement.Mentorer et conseiller les membres juniors de l'équipe, en favorisant une culture d'apprentissage continu et de partage des connaissances.Rester informé des tendances émergentes et des meilleures pratiques en matière d'apprentissage automatique et d'optimisation de la chaîne d'approvisionnement.