Machine Learning Engineer

Beschreibung

Job Zusammenfassung In dieser Rolle entwickelst du fortschrittliche KI-Modelle für die digitale Fertigung, unterstützt das Team bei der Implementierung komplexer Datenanalysen und stellst sicher, dass die Datenqualität höchsten Standards entspricht. Job Zusammenfassung In dieser Rolle entwickelst du fortschrittliche KI-Modelle für die digitale Fertigung, unterstützt das Team bei der Implementierung komplexer Datenanalysen und stellst sicher, dass die Datenqualität höchsten Standards entspricht. Deine Rolle im Team As an Machine Learning Engineer for Digital Manufacturing, you will be joining the Digital Manufacturing Group and perform a key role within the AI Integration team and assist in the AI/ML/GenAI solutions' technical requirements. You will help establish best practices for analytics use case development, deployment, scaling, and maintenance of AI/ML projects. Support the AI Integration Team in developing and deploying AI/ML models. Work with highly complex data for feature development using AI/ML models. Work closely with teams in Digital Manufacturing and other stakeholders to define project objectives, deliverables, and timelines. Adapt to evolving technologies and learn new tools and techniques. Committed to stay updated with the State-of-the-Art advancements in AI/ML. Unsere Erwartungen an dich Ausbildung Bachelor's degree in engineering, Computer Science, or related quantitative field. Master's degree in engineering, Computer Science, or related quantitative field. Qualifikationen Proficiency in AI/ML techniques and frameworks (incl. PyTorch, Scikit-Learn, LangChain etc.), and model deployment strategies. Familiarity with MLOps, CI/CD pipelines for ML, and monitoring tools for model performance and drift detection. Deep understanding of data pipelines, and data quality principles. Flexibility and ability to work with ambiguous problems and unstructured data. Excellent communication and collaboration skills. Ability to work independently and as part of a cross-functional international team. Strong problem-solving and analytical skills with a passion for building high-quality solutions. Ability to enforce data quality standards and maintain data dictionaries. Exposure to semiconductor/manufacturing domain. Erfahrung A minimum of 2 years of experience in ML engineering or Applied AI. Practical experience with AWS services for ML deployment. Extensive experience with cloud platforms (AWS, Azure, Google Cloud) for building and deploying AI solutions. Experience with data governance frameworks and guidelines. Unser Angebot The position is open-ended and to be filled as soon as possible. 13th month salary, bonus payments, assistance with relocation to Dresden. Family friendly part-time models, trust flextime, salary conversion into free time. Career stages for every job, internal qualification offers, promotion of external educational qualifications. Benefits Mehr Netto 💵 Bonuszahlungen Work-Life-Integration 🏠 Home Office Themen mit denen du dich im Job beschäftigst Machine Learning AI Metadaten Level: Erfahren Job Feld: Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Industrie, Produktion Ort: Dresden | Deutschland

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