1448 English-speaking jobs in Baden-Württemberg

Software Solutions Engineer (AI/ML) will drive innovation by prototyping semiconductor test solutions and leading customer engagements. Requires a Bachelor's or Master's degree in a relevant field, hands-on experience developing AI-based systems, and proficiency in AI frameworks and programming languages.

Design and continuously improve end-to-end inventory management processes for raw materials, work-in-progress, and finished goods inventory. Develop and maintain buffer inventory levels, define KPIs, analyze data, and ensure compliance with internal controls and regulatory standards. Collaborate with stakeholders to implement and improve inventory management processes.

Back-End Developer to design and build scalable web applications using C# and ASP.NET. Experience with Entity Framework Core, message brokers (e.g., RabbitMQ), and RESTful API design required.

Evaluates and qualifies global supplier network for scalability, cost-efficiency, and sustainability. Collaborates with suppliers to improve processes, risk management, and production networks. Implements measures to reduce supplier risk and ensure supply chain compliance.

Lead and mentor a team of engineers to build world-class mobile applications for digital assets. Drive innovation, ensure delivery excellence, and foster a collaborative environment. Collaborate with product managers, designers, and stakeholders to align team efforts with business goals and user needs. Oversee the technical delivery of features and improvements, ensuring timely and high-quality outcomes.

Own the lifecycle of N26's public cloud infrastructure, focusing on third-party tools, AI services, and integrations. Drive operational efficiency through automation and scripting.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.

Own the lifecycle of N26's public cloud infrastructure, focusing on third-party tools, AI services, and integrations. Drive operational efficiency through automation and scripting.

Own the lifecycle of N26's public cloud infrastructure, focusing on third-party tools, AI services, and integrations. Drive operational efficiency through automation and scripting.

Own the lifecycle of N26's public cloud infrastructure, focusing on third-party tools, AI services, and integrations. Drive operational efficiency through automation and scripting.

Own the lifecycle of N26's public cloud infrastructure, focusing on third-party tools, AI services, and integrations. Drive operational efficiency through automation and scripting.

Own the lifecycle of N26's public cloud infrastructure, focusing on third-party tools, AI services, and integrations. Drive operational efficiency through automation and scripting.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.

Own the lifecycle of N26's public cloud infrastructure, focusing on third-party tools, AI services, and integrations. Drive operational efficiency through automation and scripting.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.

Own the lifecycle of N26's public cloud infrastructure, focusing on third-party tools, AI services, and integrations. Drive operational efficiency through automation and scripting.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.