1201 English-speaking jobs in Bavaria

Develop and operate scalable, secure, and high-performance AI platforms in cloud environments. Support the entire AI lifecycle, from data preparation to productive operation of machine learning and generative AI solutions. Automate infrastructure, deployments, and workflows using DevOps and MLOps approaches. Collaborate with data scientists, software engineers, and architects to design and implement platform functionalities. Ensure platform quality, stability, and security. Evaluate new technological trends in AI and contribute to the development of the AI landscape.

Senior Applied AI/ML Application Engineer will build, prototype, and deliver use cases leveraging edge device models for the BMW Intelligent Personal Assistant. Responsibilities include integrating models, prototyping GenAI experiences, collaborating with model engineering, and building evaluation tools. Requires a university degree in a related field, at least five years of application engineering experience, and strong Python and Java/Kotlin skills.

Responsible for identifying market trends and new technologies for SAP application management services and cloud solutions. Designs global managed services offerings and supports sales and presales teams. Maintains product documentation and provides product knowledge to internal teams. Requires a degree in (business) information technology, economics, or a comparable field and 3-5 years of experience in SAP AMS. Fluency in English and/or German is required. Occasional travel is expected.

Regional Delivery Assurance Manager (f/m/d) will manage delivery assurance processes for selected consulting projects, including risk reviews, risk assessments, and quality assurance reviews. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, and fluency in English.

Develops end-to-end AI-based ADAS functions, including object detection, behavior prediction, and trajectory planning. Designs and optimizes humanlike driving behavior models using various techniques. Implements and executes complete training, evaluation, and release cycles for ADAS AI models.

Identifies and evaluates market trends for IaaS and PaaS services. Creates managed services portfolio roadmaps and designs new global managed cloud services. Manages end-to-end service offers and supports sales and presales teams.

Responsible for identifying market trends and new technologies for SAP application management services and cloud solutions. Designs global managed services offerings and supports sales and presales teams. Maintains product documentation and provides product knowledge to internal teams. Requires a degree in (business) information technology, economics, or a comparable field and 3-5 years of experience in SAP AMS. Fluency in English and/or German is required. Occasional travel is expected.

Develop and operate AI platforms for data pipelines, training, deployment, and inference. Optimize AI models and lead technical solutions for scalable AI platform features. Ensure reliability, performance, and cost-efficient operation of AI-based systems.

As a Senior AI Platform Security Engineer, you will define architecture standards, security policies, and SLAs/SLOs for an AI Moderation Layer. You will lead the design of a multi-layered defense strategy to protect against AI threats and establish and improve the security lifecycle for LLMs/Agents. You will collaborate with legal, compliance, and data protection teams to ensure regulatory alignment for AI security. You will also mentor and guide an agile team of engineers and data scientists.

Identifies and evaluates market trends for IaaS and PaaS services. Creates managed services portfolio roadmaps and designs new global managed cloud services. Manages end-to-end service offers and supports sales and presales teams.

Responsible for identifying market trends and new technologies for SAP application management services and cloud solutions. Designs global managed services offerings and supports sales and presales teams. Maintains product documentation and provides product knowledge to internal teams. Requires a degree in (business) information technology, economics, or a comparable field and 3-5 years of experience in SAP AMS. Fluency in English and/or German is required. Occasional travel is expected.

Regional Delivery Assurance Manager (f/m/d) will manage delivery assurance processes for selected consulting projects, including risk reviews, risk assessments, and quality assurance reviews. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, and fluency in English.

Develop and optimize embedded machine learning models for connected vehicles. Own the full lifecycle of models from concept to production deployment. Apply state-of-the-art compression techniques and collaborate with software and hardware specialists.

The IT Service Desk Manager will provide technical and organizational leadership for 1st Level Support, acting as the primary point of contact for IT issues across headquarters, the central warehouse, and approximately 60 stores.

Designs end-to-end AI and data architectures for future vehicle generations, focusing on AI trends. Builds architectural concepts for diverse use cases, such as digital cockpits and driver interaction. Provides architectural guardrails to business units and development teams. Drives the implementation of scalable AI software platforms using state-of-the-art AI research.

Regional Delivery Assurance Manager (f/m/d) will manage delivery assurance processes for selected consulting projects, including risk reviews, risk assessments, and quality assurance reviews. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, and fluency in English.

The Deutsches Museum seeks an IT Systems Engineer / IT Specialist for System Integration to manage and modernize network infrastructure. Responsibilities include network design, operation, troubleshooting, and support, as well as transitioning to cloud technologies.

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.

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.

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.