Internship Machine Learning & Cloud Technologies for Supply Chain Applications

VAT Vakuumventile AG ouvre un poste de Internship Machine Learning & Cloud Technologies for Supply Chain Applications a Haag.

Rejoignez VAT, leader en solutions de vide, pour un stage innovant.
Tâches
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Appliquer l'IA et ML pour optimiser des processus d'approvisionnement.
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Développer des pipelines de données sur notre infrastructure cloud.
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Améliorer les indicateurs de performance de la chaîne d'approvisionnement.
Compétences
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MSc ou BSc en ingénierie, mathématiques ou administration.
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Compétences en Python et en apprentissage automatique.
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Pensée analytique et compétences en communication.
About VAT Group
At VAT, we change the world with vacuum solutions. As the world's leading supplier of high-performance vacuum valves, we have been driving innovation for more than 60 years. With over 3,200 employees worldwide, we operate from our headquarters in Haag, Switzerland, with manufacturing sites in Switzerland, Malaysia and Romania, as well as sales and service hubs around the world. We guided by our passions integrity, teamwork, customer centricity, and innovation - always working together as #oneVAT.
Joining us means becoming part of a passionate, international team where your voice is heard, your ideas matter, and your career growth is supported.
Internship Machine Learning & Cloud Technologies for Supply Chain Applications
Internship Objectives:
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Application of AI & ML and advanced analytics on our Cloud foundation for optimizing supply chain processes
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Developing the required data pipeline and foundation for a data backbone on our cloud infrastructure
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Showing business benefit by achieving a sustainable improvement in SC KPIs
Responsibilities
:
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Carry out literature review and identify best practices in the use of ML, analytics and cloud technologies in inventory management, demand and capacity planning and SC optimization
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Understand, extract, clean and structure the relevant business, SC and market big data
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Learn & master the cloud apps and codes relevant to the project
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Develop and integrate pipelines, algorithms and structure needed for the project
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Benchmark and evaluate the results
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Help integrating the new approaches into the processes and show the improvement of KPIs
Competencies acquired at the end of the Internship:
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Hard skills: A strong foundational knowledge and parcours professionnel in: Cloud technology, Supply chain analytics, ML for business planning and applications, Data pipelines, ML pipelines in cloud, Supply chain data and KPIs
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Soft skills: Teamwork, Communication, Stakeholder management, Project management, Agile development, Translating business needs to technical solutions
Qualifications:
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MSc or BSc in Engineering, Mathematics, Physics, Business Administration or similar
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Good coding skills in Python
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Knowledge and parcours professionnel in machine learning (ML)
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Familiarity with cloud platforms (preferentially Azure)
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Strong analytical thinking, technical, communication and presentation skills
Suisse 9469 Haag Seelistrasse 1

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