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Andersen
yesterday
Grade
Senior
Experience
from 5 years
Work format
Remote, Onsite, Hybrid
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
Andersen is hiring an MLOps / Cloud Engineer (AWS) for a project developing an ML-powered image analysis platform to automate defect detection and improve industrial quality control.
Our customer is an international company providing specialized industrial materials and technology solutions to businesses across multiple sectors. Combining technical expertise with research and development capabilities, the organization helps customers improve manufacturing processes, enhance product quality, and increase operational efficiency. Its activities focus on delivering innovative solutions, supporting sustainable industrial practices, and adapting to evolving technological and market requirements.
The project is focused on developing and enhancing an image analysis platform for quality control in electroplating and surface finishing processes. It leverages Machine Learning and Computer Vision to automate defect detection, image segmentation, feature measurement, and comparison with expert reference values, enabling accurate, consistent, and objective quality assessments.
Other important skills for the vacancy are described in the knowledge matrix.
Worldwide
Andersen is hiring an MLOps / Cloud Engineer (AWS) for a project developing an ML-powered image analysis platform to automate defect detection and improve industrial quality control.
Our customer is an international company providing specialized industrial materials and technology solutions to businesses across multiple sectors. Combining technical expertise with research and development capabilities, the organization helps customers improve manufacturing processes, enhance product quality, and increase operational efficiency. Its activities focus on delivering innovative solutions, supporting sustainable industrial practices, and adapting to evolving technological and market requirements.
The project is focused on developing and enhancing an image analysis platform for quality control in electroplating and surface finishing processes. It leverages Machine Learning and Computer Vision to automate defect detection, image segmentation, feature measurement, and comparison with expert reference values, enabling accurate, consistent, and objective quality assessments.
Other important skills for the vacancy are described in the knowledge matrix.
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Worldwide
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