72 English-speaking jobs in Upper Austria

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 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.

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

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.

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.

Build advanced ML models, lead MLOps, and deliver scalable AI solutions integrated into core products.

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