72 English-speaking jobs in Upper Austria

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.

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 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.

Shape the architectural vision for cutting-edge AI systems. Design scalable, secure, and high-performance solutions. Guide architectural decisions and provide technical guidance to engineering teams.

Shape scalable, secure AI architectures and ensure high-performance systems across the user journey. Design, develop, and implement solutions aligning with business goals. Lead technical discussions, mentor team members, and provide strategic advice.

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.

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, 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.

Design, implement, and optimize software features across platforms. Develop and enhance software architecture using efficient algorithms and modern technologies. Mentor junior developers and stay current with technical trends.

Design, implement, and optimize Java software features across platforms. Define architecture, enhance performance, and mentor junior developers.