459 English-speaking jobs in Hesse

Senior AI Engineer will design, implement, and maintain AI-powered solutions using cloud technologies. Requires expertise in GenAI, LLMs, and agentic AI, with experience in production deployments. Strong Python skills and knowledge of MLOps, APIs, databases, and security are essential.

As a Data Analyst - Collections, you will translate operational and strategic requirements into data solutions using SQL. You will analyze data, identify patterns, and develop optimization measures for collections performance. You will also design dashboards, define KPIs, and support data science teams.

This part-time evening sorting position involves loading, unloading, shipping, receiving, scanning, sorting, and stocking packages. May utilize heavy machinery. Requires ability to lift up to 70 lbs. and flexible shift availability. Warehouse experience is preferred.

Network Engineer responsible for the secure and stable operation of the company's network infrastructure. Experience with CISCO and Meraki network solutions is required.

Manage and support Microsoft 365 applications including Teams, SharePoint, OneDrive, Intune, and PowerApps. Provide 2nd-level support, including root cause analysis and preventive measures. Support Workplace Management, software distribution, and business applications.

Designs, implements, and operates data solutions including DWH, BI, and big data solutions. Develops ETL processes, reporting, and dashboards. Advises management on data-driven decision-making.

Network Engineer responsible for the secure and stable operation of the company's network infrastructure. Experience with CISCO and Meraki network solutions is required.

Designs, implements, and operates data solutions including DWH, BI, and big data solutions. Develops ETL processes, reporting, and dashboards. Advises management on data-driven decision-making.

Manage and support Microsoft 365 applications including Teams, SharePoint, OneDrive, Intune, and PowerApps. Provide 2nd-level support, including root cause analysis and preventive measures. Support Workplace Management, software distribution, and business applications.

Manage and support Microsoft 365 applications including Teams, SharePoint, OneDrive, Intune, and PowerApps. Provide 2nd-level support, including root cause analysis and preventive measures. Support Workplace Management, software distribution, and business applications.

Designs, implements, and operates data solutions including DWH, BI, and big data solutions. Develops ETL processes, reporting, and dashboards. Advises management on data-driven decision-making.

Network Engineer responsible for the secure and stable operation of the company's network infrastructure. Experience with CISCO and Meraki network solutions is required.

Designs, implements, and operates data solutions including DWH, BI, and big data solutions. Develops ETL processes, reporting, and dashboards. Advises management on data-driven decision-making.

Network Engineer responsible for the secure and stable operation of the company's network infrastructure. Experience with CISCO and Meraki network solutions is required.

Technical expert for electroacoustic safety systems. Analyze, test, explain, and improve systems. Support Engineering and Sales teams.

Technical expert for electroacoustic safety systems. Analyze, test, explain, and improve systems. Support Engineering and Sales teams.

Technical expert for electroacoustic safety systems. Analyze, test, explain, and improve systems. Support Engineering and Sales teams.

Supports the creation of short- and mid-term demand forecasts for key customers. Analyzes market trends, historical data, and business drivers to improve forecast accuracy. Monitors forecast performance and identifies deviations.

Working student (up to 20 hours/week) to support the Research & Development department. Must be enrolled in a German university, preferably in a STEM field, with English (min. B2) and German language skills.

Develop and operate scalable AI platforms in cloud environments. Support the entire AI lifecycle, from data preparation to deployment. Automate infrastructure and workflows using DevOps and MLOps tools. Collaborate with data scientists and engineers to design and implement platform functionalities. Ensure platform quality, stability, and security.