Internship in Cloud Deployment and ML Engineering
Visualizza: 171
Giorno di aggiornamento: 24-10-2024
Località: Frankfurt am Main Hesse
Categoria: Farmaceutico / Chimico / Biotech
Industria:
Tipo di lavoro: Praktikum
Contenuto del lavoro
Bayer ist ein weltweit tätiges Unternehmen mit Kernkompetenzen auf den Life-Science-Gebieten Gesundheit und Agrarwirtschaft. Mit seinen Produkten und Dienstleistungen will Bayer den Menschen nützen und zur Verbesserung der Lebensqualität beitragen. Bayer schätzt die Leidenschaft seiner Mitarbeiterinnen und Mitarbeiter für Innovationen und gibt ihnen die Kraft, Dinge zu verändern.
Internship in Cloud Deployment and ML Engineering
We are looking for you to join our team! You will support and learn about cloud deployment and extension of an In-House Python package for Chemistry based Machine Learning and Explainable AI with a potential option for Open Sourcing. Our team interacts with different stakeholders over different sites and is part of the Computational Life Science for Crop Science (Weed Control) group.
YOUR TASKS AND EDUCATIONAL OBJECTIVES
- Design and realization of algorithms and software
- Get to know about Cloud Deployment and Machine Learning
- Support the implementation of digital initiatives for AI in our company
- Contribute to a positive team culture and work ethic based on Bayer LIFE values
WHO YOU ARE
Required:
- Enrolled bachelor/master student (m/f/d) in Computer Science, Machine Learning, applied Mathematics, Physics, Bioinformatics, Cheminformatics or related fields
- Familiarity with DevOps principles
- Interested in implementing and advancing state-of-the-art methodologies for chemical compound screening
- Excellent Python programming skills
- Interested in building Cloud Deployment and Machine Learning skills
Desirable:
- Experience in Scikit Learn
- Basic knowledge in PyTorch and especially the Skorch library
- Basic knowledge of chemistry and/or biology
- Fluent in English, both written and spoken
We offer this internship for a duration of 6 months (starting between April and July) in Frankfurt in a hybrid working modell. We are looking forward to your application!
#LI-DE
IHRE BEWERBUNG
Bayer begrüßt Bewerbungen aller Menschen ungeachtet von ethnischer Herkunft, nationaler Herkunft, Geschlecht, Alter, körperlichen Merkmalen, sozialer Herkunft, Behinderung, Mitgliedschaft in einer Gewerkschaft, Religion, Familienstand, Schwangerschaft, sexueller Orientierung, Geschlechtsidentität oder einem anderen sachfremden Kriterium nach geltendem Recht. Wir bekennen uns zu dem Grundsatz, alle Bewerberinnen und Bewerber fair zu behandeln und Benachteiligungen zu vermeiden.
Standort: Deutschland : Hessen : Frankfurt a.M.
Division: Crop Science
Referenzcode:788359
Scadenza: 08-12-2024
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