1363 germany English-speaking jobs in Germany

The Regional Delivery Assurance Manager ensures projects follow defined delivery assurance processes, from risk management in the presales phase to project delivery. Responsibilities include implementing and executing delivery assurance processes, conducting risk reviews, and managing risk mitigation activities. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, strong communication and stakeholder management skills, and fluency in English. Willingness to travel 20-40% is required.

The Regional Delivery Assurance Manager ensures projects follow defined delivery assurance processes, from risk management in the presales phase to project delivery. Responsibilities include implementing and executing delivery assurance processes, conducting risk reviews, and managing risk mitigation activities. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, strong communication and stakeholder management skills, and fluency in English. Willingness to travel 20-40% is required.

The Regional Delivery Assurance Manager ensures projects follow defined delivery assurance processes, from risk management in the presales phase to project delivery. Responsibilities include implementing and executing delivery assurance processes, conducting risk reviews, and managing risk mitigation activities. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, strong communication and stakeholder management skills, and fluency in English. Willingness to travel 20-40% is required.

The Regional Delivery Assurance Manager ensures projects follow defined delivery assurance processes, from risk management in the presales phase to project delivery. Responsibilities include implementing and executing delivery assurance processes, conducting risk reviews, and managing risk mitigation activities. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, strong communication and stakeholder management skills, and fluency in English. Willingness to travel 20-40% is required.

The Regional Delivery Assurance Manager ensures projects follow defined delivery assurance processes, from risk management in the presales phase to project delivery. Responsibilities include implementing and executing delivery assurance processes, conducting risk reviews, and managing risk mitigation activities. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, strong communication and stakeholder management skills, and fluency in English. Willingness to travel 20-40% is required.

The Regional Delivery Assurance Manager ensures projects follow defined delivery assurance processes, from risk management in the presales phase to project delivery. Responsibilities include implementing and executing delivery assurance processes, conducting risk reviews, and managing risk mitigation activities. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, strong communication and stakeholder management skills, and fluency in English. Willingness to travel 20-40% is required.

The Regional Delivery Assurance Manager ensures projects follow defined delivery assurance processes, from risk management in the presales phase to project delivery. Responsibilities include implementing and executing delivery assurance processes, conducting risk reviews, and managing risk mitigation activities. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, strong communication and stakeholder management skills, and fluency in English. Willingness to travel 20-40% is required.

The Regional Delivery Assurance Manager ensures projects follow defined delivery assurance processes, from risk management in the presales phase to project delivery. Responsibilities include implementing and executing delivery assurance processes, conducting risk reviews, and managing risk mitigation activities. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, strong communication and stakeholder management skills, and fluency in English. Willingness to travel 20-40% is required.

The Regional Delivery Assurance Manager ensures projects follow defined delivery assurance processes, from risk management in the presales phase to project delivery. Responsibilities include implementing and executing delivery assurance processes, conducting risk reviews, and managing risk mitigation activities. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, strong communication and stakeholder management skills, and fluency in English. Willingness to travel 20-40% is required.

Technical AI Engineer responsible for complex, cross-functional AI initiatives from requirements analysis to implementation. Designs and develops scalable AI systems, focusing on Generative AI, and manages AI-related projects. Collaborates with internal and external partners.

Builds and maintains end-to-end ML pipelines, including data ingestion, training, evaluation, and deployment. Engineers petabyte-scale data pipelines, transforming raw automotive data into training formats. Develops and maintains model compilation pipelines for in-vehicle hardware. Operates observability stacks, providing dashboards, alerts, and log aggregation.

Integrate and prototype GenAI & ML models for the BMW Intelligent Personal Assistant. Develop new in-car intelligence features, collaborating with model engineering and UX teams. Requires a computer science or engineering degree and 5+ years of application engineering experience.

Define AI system strategy for ADAS, including model architectures, data flows, and integration concepts. Develop prototypes, evaluation pipelines, and data models, testing against real-world product requirements. Collaborate with expert teams to co-create cutting-edge ADAS products spanning L2 to L4 autonomous driving.

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 learning paradigms. Implements and executes complete training, evaluation, and release cycles, ensuring data selection, scene mining, and KPI-based validation.

Define core semantic ontologies and context data models for autonomous driving and real-time systems. Drive the implementation of advanced data infrastructure functions and design a multi-level memory concept for vehicles. Orchestrate the integration of ML, GenAI, and symbolic reasoning rules to curate semantic context. Develop the data model strategy for fine-tuning SLMs and VLMs for agentic applications.

Senior Machine Learning Engineer will evaluate and select GenAI models to enhance simulation performance. Develop and operate a scalable training and MLOps infrastructure, including distributed training, automated evaluation pipelines, and optimized cloud/on-prem compute usage. Optimize the GPU toolchain, scheduling, profiling, and resource allocation. Contribute to the simulation of driver assistance systems and evaluate simulation quality.

Senior Applied AI/ML Engineer develops and refines edge GenAI models for the BMW Intelligent Personal Assistant. Responsibilities include selecting and adapting base models, creating training pipelines, implementing compression strategies, and collaborating with performance engineers. Requires a university degree in a related field, experience in applied machine learning, proficiency in PyTorch and Transformers, and expertise in model compression and fine-tuning.

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.

Develop and industrialize end-to-end machine learning algorithms for ADAS functions. Design and improve human-like driving behavior using behavior models, reinforcement learning, and hybrid data- and model-driven approaches.

Designs, builds, and operates GPU-centric AI infrastructure across on-prem and cloud environments. Focuses on performance, scalability, and efficiency of high-performance compute environments for distributed training and optimized model execution. Develops and operates core infrastructure components such as scheduling and resource management systems. Builds and maintains automated, reproducible infrastructure using modern tooling. Provides reliable and scalable infrastructure for BMW-specific AI use cases.