Nous utilisons cookies techniques et statistiques de visites: Yandex Metrica et le journal de visites anonymisé de Zorky. Nous ne vendons jamais de données. En savoir plus sur les cookies et les statistiques.
Zorky est en mode test : tout est gratuit. Ce site n'est qu'une démo : les noms d'entreprises, les liens et votre flux personnel s'ouvrent après inscription. Inscription →
ZorkyZorky
Français
@termdocs
← Toutes les offres

Machine learning Engineer

MiddlehybridRotterdam, NL →il y a 2 j
Analyses du marché
📊 AI / ML / Data Science: salaires et demande sur le marché
Stack
awsazurec++clouddatabricksdevopsdockergcpgithadoopjavakubernetes
Détails
Expérience
2 ans et plus
Anglais
C1, requis
Pratiques
DevOps
Formation
Master
Afficher l'entreprise et le lien
Gratuit, après connexion.
Postuler
Déposez votre CV : des employeurs et recruteurs de différents pays qui cherchent votre profil pourront vous contacter directement.
Envoyer votre CV →
Description
What you will do As an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing the future of your expertise within Sia. You will work on client projects as well as on building our own Sia AI solutions, together with our Dutch team of Data Scientists, our French Data Engineering team, and other business units of Sia Global. Your responsibilities include: Leading an internal team towards the development of AI products; Working in a multidisciplinary team on client projects as an expert on your subject; Making architectural and design decisions for cloud environments; Building production level ML/AI solutions with solid software engineering; Guiding Data Scientists to scale up their models into production (parallelizing, optimizing, tuning, testing, and wrapping); Giving trainings, leading internal meetings and organizing external events; Participating in team meetings and workshops with clients; Writing blog articles, presenting at conferences and sending out press releases on the subject that you lead. Who you will work with The Data Science team is young, diverse and growing (10+). You will join a team that will challenge you and invest in your professional development. We have a flat structure and rely on the entrepreneurial spirit of our members: initiative is highly encouraged. We are striving for well-being, diversity and knowledge-sh
Description complète, entreprise et lien pour postuler : après connexion. Se connecter
Les contacts de l'employeur (e-mail/téléphone/telegram) sont masqués dans l'aperçu public. Envoyez votre CV pour que les employeurs puissent vous contacter directement.
Question urgente ? Écrivez à @termdocs