71 marketing English-speaking jobs in Upper Austria

Experienced Data Center Technician needed for on-site contract work in Perg, Austria. Perform hardware installations, cabling, server racking, and troubleshooting. Must have 2+ years of data center experience, strong cabling skills, and ability to lift 50+ lbs.

Experienced Data Center Technician needed for on-site contract work in Ostermiething, Austria. Perform hardware installations, cabling, server racking, and troubleshooting. Must have 2+ years of data center experience, strong cabling skills, and ability to lift 50+ lbs.

Experienced Data Center Technician needed for on-site contract work in Linz, Austria. Perform hardware installations, cabling, server racking, and troubleshooting. Must have 2+ years of data center experience, strong cabling skills, and ability to lift 50+ lbs.

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.

Lead and mentor a cross-functional AI team in the design, development, and deployment of AI models and systems, including LLMs. Manage project timelines and resources while collaborating with stakeholders to align AI initiatives with strategic goals.

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.

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.

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.

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.

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.