Machine Learning Engineer – MLOps (m / f / d)
Join to apply for the Machine Learning Engineer – MLOps (m / f / d) role at DÜRR DENTAL SE .
DÜRR DENTAL South East-Asia SDN BHD is a full sales subsidiary of the German Dürr Dental SE. As a technology leader in its field, the Dürr Dental group with its more than 1,350 employees develops, produces and sells system solutions and services for the health sector with an annual business turnover of more than €374 million in 2024, serving customers in 174 countries worldwide.
Your Responsibilities
- design, build and maintain scalable, secure and reliable ML infrastructure and pipelines
- collaborate with data scientists to train and integrate machine learning models into production-ready services
- ensure reproducibility, versioning, monitoring and governance of models in compliance with internal and external standards
- focus on business needs, evaluate via data‑driven approach
- foster a culture of collaboration and continuous learning within the team
Requirements
bachelor’s or master’s degree in a STEM field (Science, Technology, Engineering, Mathematics)proven experience with MLOps tools and principles, especially in production environmentshands‑on experience with DevOps and container technologies, such as Git, Docker / Podman, Kubernetesproficiency in cloud computing and CI / CD pipelines, such as AWS, Azure, Google Cloudproficiency in REST API design, development and securityexperience with machine learning frameworks; familiarity with computer vision is a plusunderstanding of EU / US regulations on medical devices and AI is beneficialexperience in handling large datasets and / or building data lakes is an assetknowledge of design principles, usability best practices, and accessibility standards is a plusstrong problem‑solving skills and attention to detailexperience with agile methodologies and modern development workflowsexcellent written and verbal communication abilitiesexcellent teamwork and collaboration skillsOur Offer
opportunity to work with the latest technologies and toolscreating a modern cloud‑based AI solutioninternational team environmentmodern office environment#J-18808-Ljbffr