69 English-speaking jobs in Upper Austria

Freelance Data Center Technician needed for on-demand support of global data centers. Responsibilities include hardware installation, troubleshooting, network management, and documentation. Requires 3+ years of experience in data center operations, expertise in Cisco and Juniper networking devices, and proficiency in Windows and Linux systems.

We are seeking ambitious entrepreneurs to build and scale startups in Industry 4.0. Receive a salary, funding, and support from serial entrepreneurs to build €1B+ companies. You will own your startup, receive personalized development, and access a network of top talent and investors.

Supports the development and rollout of AI-powered features for TeamViewer's Endpoint Management, Remote Connectivity, and Digital Employee Experience products. Contributes to understanding users, customers, markets, and competitors, focusing on AI and data-driven solutions. Assists in collecting, refining, and documenting product requirements for AI features. Participates in discovery activities, supports backlog maintenance, and assists with writing specifications for AI use cases. Monitors product success indicators and proposes improvements. Coordinates with stakeholders across various departments.

TeamViewer seeks a Quality Assurance Engineer to write, review, and execute test plans throughout the development lifecycle. The role requires coding experience in Java, Python, C#, JavaScript, or similar, and a strong understanding of AI and testing methodologies. Fluency in English is mandatory.

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 to align AI initiatives with strategic goals.

Designs and implements data models and pipelines for relational databases, NoSQL stores, data warehouses, and data lakes. Builds, maintains, and optimizes data pipelines using workflow orchestration tools. Establishes data quality standards and processes, enforces data governance policies, and manages data lineage and metadata. Collaborates with AI Engineers, AI Software Engineers, QA Engineers, and Data Analysts to deliver data solutions.

Senior Sales Manager Continuous Casting (Technical) will manage and expand customer base, develop proposals, and support projects. Requires a technical education (HTL, FH, Uni) in a relevant field, 3+ years of experience in technical sales or project management, and strong commercial acumen.

Prepare and serve drinks according to recipes, maintain bar cleanliness, and process payments. Stock supplies, wash glassware, and complete closing duties. Follow company policies and procedures, ensuring a clean and professional appearance. Welcome and acknowledge guests, anticipate needs, and resolve concerns. Communicate effectively and maintain positive working relationships.

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.

Converter Service Specialist combines technical expertise and sales skills to provide solutions for converter-related services. Responsibilities include customer visits, on-site inspections, technical offer preparation, and project support. Requires a technical education, experience in converter operation or maintenance, and strong communication and travel skills.

Senior Product Marketing Manager to develop sales enablement programs, marketing materials, and go-to-market strategies. Collaborate with sales, product, and cross-functional teams to support product launches and drive business impact.

Utility Cleaners support various hotel departments, including kitchen, food and beverage, and laundry. Tasks include preparing linens and dishware, operating cleaning equipment, and transporting items. Associates must adhere to quality standards, safety procedures, and maintain professional appearance.

Designs, builds, and maintains data systems for analysis and AI initiatives. Develops data models, pipelines, and data quality standards. Collaborates with AI teams to deliver data solutions.

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

Shape the architectural vision and strategy for TeamViewer's software solutions. Design, develop, and implement scalable, secure, and high-performing systems. Guide architectural decisions, conduct reviews, and mentor team members. Collaborate with cross-functional teams to ensure alignment and successful delivery of projects.

This role focuses on AI product management, including customer feedback analysis, stakeholder management, change management, process improvement, and innovation support. The ideal candidate has a proven track record in product management, strong stakeholder management skills, and expertise in change management.

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.

Shape the architectural vision and strategy for TeamViewer's software solutions. Design, develop, and implement scalable, secure, and high-performing systems. Guide architectural decisions, conduct reviews, and provide insights to ensure software quality and adaptability. Collaborate with cross-functional teams to ensure alignment and successful project delivery.

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.