77 linz English-speaking jobs in Austria

Shape the architectural vision and strategy for software solutions at TeamViewer. Design, develop, and implement scalable, secure, and high-performing systems. Guide architectural decisions, conduct reviews, and mentor team members.

Lead and mentor a cross-functional AI team in the design, development, and deployment of AI models and systems, including LLMs. Manage project timelines, resources, and deliverables in an agile setup. Collaborate with stakeholders across engineering, product, and business units.

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.

Shape the future of AI at TeamViewer. As a (Senior) Product Manager for TeamViewer AI, you'll drive product strategy and execution for AI-driven solutions in Autonomous Endpoint Management, Remote Connectivity, and Digital Employee Experience. You will collaborate with cross-functional teams to define product requirements, support launches, and ensure customer success.

Lead two agile full-stack teams developing core platform services. Ensure high code quality and team performance while mentoring and guiding developers. Promote an agile mindset and foster a culture of open communication.

Design high-quality user experiences for AI-powered remote support features. Collaborate with cross-functional teams to understand technical capabilities, user needs, and business goals. Present and communicate design work, incorporating feedback to strengthen solutions.

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.

Design, implement, and deploy advanced machine learning and deep learning models for real-world applications. Own the full machine learning lifecycle, from data exploration to production deployment. Establish robust MLOps practices, including CI/CD, automated monitoring, and containerization. Collaborate with cross-functional teams to integrate AI solutions.

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

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 GrazYou will take ownership of our Google

Cloud Platform Engineer (m/w/d) Wien, Wels, Linz (OÖ) oder GrazYou will take ownership of our Google

in hotel of our choosing (if you live more than 100km from our headquarters and need to relocate to Linz

At three locations (Graz, Villach, Linz), SAL is conducting research along the entire ESBS value chain

At three locations (Graz, Villach, Linz), SAL is conducting research along the entire ESBS value chain