39 Electrical Engineer English-speaking jobs in Upper Austria

Completed technical education (HTL, FH, Uni) in mechatronics, electrical engineering, mechanical engineering

Senior Software Engineer (all genders) Join our team to design architecture, build

AI Senior Software Engineer (all genders) Build advanced ML models, lead MLOps, and

Responsibilities We are seeking a skilled and detail-oriented Data Engineer to join our growing team. ... Requirements Proven experience as a Data Engineer, including designing and building data pipelines and

corrective actions as well as monitoring of supplier quality KPIs YOUR QUALIFICATIONS * Degree in electrical

AI Software Engineer (all genders) Join our team to build and deploy AI models that

Cloud Platform Engineer (m/w/d) Wien, Wels, Linz (OÖ) oder Graz Aufgaben You will take ownership

Cloud Platform Engineer (m/w/d) Wien, Wels, Linz (OÖ) oder Graz Aufgaben You will take ownership

Qualifications: Proven experience as a Data Engineer, including designing and building data pipelines

Design and implement new software features across platforms. Define and develop software architecture. Optimize and enhance software using efficient algorithms and modern technologies.

Develop and deploy machine learning models for real-world applications. Build datasets, conduct data analysis, and manage the ML lifecycle. Implement MLOps practices and collaborate with teams to integrate AI models into production.

Design, implement, and maintain automated test suites for AI/ML systems, integrating testing workflows into CI/CD pipelines. Apply machine learning and statistical knowledge to validate model performance and assess dataset quality. Collaborate with cross-functional teams to ensure testability in model design and drive continuous improvement in AI-related QA processes.

You will act as both a technical expert and sales engineer: understanding customer needs, presenting

The minimum salary for this position in the collective agreement for the electrical and electronics industry

Design, implement, and maintain automated tests for AI/ML systems. Integrate tests into CI/CD pipelines and create comprehensive test plans covering AI quality aspects. Collaborate with teams to ensure testability and assess datasets for quality and bias.

Develop and deploy machine learning and deep learning models for real-world applications. Build and refine datasets, conduct data analysis, and manage the ML lifecycle. Implement MLOps practices and collaborate with teams to integrate AI models.

Design and implement new software features across platforms. Define and develop architectures for new components and functionalities. Optimize and enhance software using efficient algorithms and modern technologies.

Design and implement new software features across platforms. Define and develop software architecture. Optimize and enhance software using efficient algorithms and modern technologies.

Designs, implements, and deploys machine learning and deep learning models for real-world applications. Owns the end-to-end machine learning lifecycle, from data exploration to production deployment. Establishes MLOps practices and collaborates with product, engineering, and QA teams.