1186 English-speaking jobs in Bavaria

The AI Lead Product Manager - Data will own and drive the strategy and execution of AI-powered Health Data Products. This role requires an individual who combines deep product expertise with the ability to build and inspire high-performing teams. The successful candidate will define and own the global product strategy and roadmap for AI-powered Health Data Products, spanning clinical, genomic, and operational data domains.

The AI Lead Product Manager - Data will own and drive the strategy and execution of AI-powered Health Data Products. This role requires an individual who combines deep product expertise with the ability to build and inspire high-performing teams. The successful candidate will define and own the global product strategy and roadmap for AI-powered Health Data Products, spanning clinical, genomic, and operational data domains.

The AI Lead Product Manager - Data will own and drive the strategy and execution of AI-powered Health Data Products. This role requires an individual who combines deep product expertise with the ability to build and inspire high-performing teams. The successful candidate will define and own the global product strategy and roadmap for AI-powered Health Data Products, spanning clinical, genomic, and operational data domains.

The AI Lead Product Manager - Data will own and drive the strategy and execution of AI-powered Health Data Products. This role requires an individual who combines deep product expertise with the ability to build and inspire high-performing teams. The successful candidate will define and own the global product strategy and roadmap for AI-powered Health Data Products, spanning clinical, genomic, and operational data domains.

The AI Lead Product Manager - Data will own and drive the strategy and execution of AI-powered Health Data Products. This role requires an individual who combines deep product expertise with the ability to build and inspire high-performing teams. The successful candidate will define and own the global product strategy and roadmap for AI-powered Health Data Products, spanning clinical, genomic, and operational data domains.

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.

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.

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.

Align customer test requirements with Advantest's V93000 ATE platform, focusing on Power, Analog, and Control domains. Identify emerging test needs for complex devices and develop reference solutions. Drive the rollout of new V93000 test solutions and provide expert application support.

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.

Design end-to-end AI and data architectures for vehicles, focusing on edge computing and diverse use cases. Build scalable AI software platforms and define interfaces for application development.

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.

Senior Applied AI/ML Engineer will select and adapt base models for voice assistant and intelligence tasks. Develop training, fine-tuning, and evaluation pipelines to refine models. Implement compression strategies and collaborate with performance engineers on hardware-aware model variants.

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.

Designs, builds, and manages Kubernetes clusters on AWS EKS for autonomous driving AI/ML workloads. Provisions and orchestrates large-scale GPU clusters for distributed AI/ML training and experimentation. Implements and automates CI/CD pipelines for AI/ML workflows. Develops and maintains infrastructure components tailored to autonomous driving data. Collaborates with data scientists, AI/ML engineers, and cloud architects.

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.

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.

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.

Designs and operates knowledge graphs and graph databases to capture domain knowledge and operational data. Builds context-engineering pipelines for LLM-based agents and implements feedback loops for continuous improvement. Develops ontologies and semantic models for the automotive AI domain.

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.