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Rosen Technology & Research Center GmbH | Germany | Lingen, Osnabrück | Permanent position | Full time / Home office | Published since: 06.03.2025 on stepstone.de

AI/ML Engineer (m/w/d) Data Driven Solutions


Welcome to ROSEN!

Since our foundation in 1981, we have developed into a global player with nearly 4,000 employees in over 120 countries. As a technology and world market leader in pipeline inspections, we offer clients unique products and services – and professionals attractive job prospects in a high-tech environment. Not for free we are “empowered by technology”!

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Welcome to ROSEN!

Since our foundation in 1981, we have developed into a global player with nearly 4,000 employees in over 120 countries. As a technology and world market leader in pipeline inspections, we offer clients unique products and services – and professionals attractive job prospects in a high-tech environment. Not for free we are “empowered by technology”! To strengthen our team at our location in Lingen (Ems) or Osnabrück we are looking for

With worldwide inspection systems, the ROSEN Group ensures the safe operation of industrial plants. In steady growth, ROSEN is constantly developing new areas of application. As a data scientist focusing on ML Engineering, you support the further development of our non-destructive testing methods.

ACTIVITIES: Development and optimization of machine learning pipelines for productive use Implementation and maintenance of scalable ML models in a containerized environment (e.g. Docker, Kubernetes) Close cooperation with Data Scientists to explore models in productive environments Automation of ML pipelines with KubeFlow and other orchestration tools Construction and maintenance of CI/CD pipelines for machine learning applications Monitoring, maintenance and continuous improvement of ML services in productive operation Create, prepare and analyze heterogeneous data Development, implementation, application and optimization of algorithms for data analysis Integration of algorithms in software applications Close cooperation with the departments for algorithm, software and sensor development Analysis, documentation and presentation of results Research, evaluation and implementation of current trends and technologies in the field of machine learning

To become part of the ROSEN family, you convince by an independent and reliable way of working. You'll also bring: Completed studies in computer science, mathematics, data science or comparable discipline Knowledge of machine learning and practical experience with ML frameworks such as TensorFlow, PyTorch or scikit-learn Extensive knowledge of DevOps technologies, in particular Docker, Kubernetes and CI/CD Workflows Good understanding of MLOps principles and ML deployment strategies Experience with cloud technologies (Azure, AWS) of advantage Good programming knowledge, ideal in Python Knowledge of non-destructive testing Excellent problem solving skills and analytical thinking skills A high level of initiative, commitment and team spirit as well as good communication skills Good knowledge of German and English in word and writing

Development opportunities and career opportunities in a global, innovative and long-term group with family character Flexible working hours, working time accounts and home office possible An open corporate culture in which we all celebrate and success with social events Compatibility of work and family through our own bilingual children's daycare facility ROKIDS and our bilingual primary school ROBIGS (optional: holiday care)(only at the location in Lingen) Occupational pensions and benefits Company's operating restaurant (only at the location in Lingen) and fresh fruit daily Various sports (EGYM Wellpass, Football, Running Groups etc.) Attractive leasing offers for IT products and bicycles for private use Corporate Benefits - Employee Offers in Changing Online Shops to Top Conditions

Company location

Location

ava Rosen Technology & Research Center GmbH
Lingen, Osnabrück
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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