Senior Machine Learning Engineer

Vor 4 Tagen


Rapperswil SG, Sankt Gallen, Schweiz Geberit Mapress Vollzeit

Are you looking for a new challenge and want to be part of a successful industrial company? Geberit Mapress is seeking a highly skilled Senior Machine Learning Engineer to join our team in Rapperswil-Jona.


Main Responsibilities:

As a Senior Machine Learning Engineer, you will play a critical role in shaping the future of our AI-driven solutions and building up our AI Competence Center. You will work closely with cross-functional teams to integrate cutting-edge AI technologies into our sales, marketing, and product development processes.


Key Activities:

Lead the design, development, and deployment of advanced machine learning models, focusing on generative AI to optimize product design and customer solutionsCollaborate with product development, engineering, and data science teams to incorporate AI-driven insights into various processesDevelop and implement scalable AI solutions that can be integrated into Geberit's product portfolio and manufacturing systemsMentor and guide junior engineers and data scientists, fostering a culture of learning and innovationOptimize machine learning pipelines for scalability and performance, ensuring robust deployment in production environmentsContribute to the development of AI tools and frameworks that enhance the digital transformation of Geberit's business operations


Requirements:

You have a Bachelor's, Master's, or PhD in Computer Science, Engineering, or Mathematics (or a related field) as well as 5+ years of experience in machine learning, with a focus on generative AI (e.g., GANs, VAEs, deep learning, etc.).


Your Skills and Qualifications:
Proficiency in Python and experience with cloud platforms (AWS, GCP, Azure) as well as deploying machine learning models in productionDemonstrated experience in data preprocessing, feature engineering, and model evaluationExperience in applying AI to CAD, BIM, or other design tools commonly used in construction and manufacturing is a plusExperience with MLOps and deploying AI models in a large-scale industrial environmentExcellent problem-solving skills, with a collaborative approach to working in multidisciplinary teamsStrong communication skills, capable of conveying technical concepts to non-technical stakeholders
What We Offer:

Company culture: Based on our CompassRemuneration: Market-oriented salary, bonus, and share program as well as attractive fringe benefits (REKA-Pay, mobility contribution, and much more)


How to Apply:

Do you share our values and feel comfortable in a collegial and down-to-earth environment in which you can demonstrate your skills and contribute ideas? If so, we look forward to receiving your application.



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