6137 germany English-speaking jobs in Germany

of our Information Technology team near Frankfurt am Main or at any of our industrial sites across Germany ... the data to drive insights and better decision making For more information, please also visit our Germany

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 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.

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.

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.

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.

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.

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 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.

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. Execute full training and evaluation cycles, from data selection and scene analysis to error diagnosis, validation of new function states for various markets and ODD extensions.

Design, develop, train, validate, and optimize machine learning models for automotive use cases. Work with large-scale data to create robust models and ensure performance, robustness, and explainability. Deploy models into production systems and collaborate with teams to establish best practices for AI development.

Games Director (f/m/x) in an international and multicultural team at the IPC Headquarters in Bonn, Germany

Parental Leave Cover) (f/m/x) in an international and multicultural team at the IPC Headquarters in Bonn, Germany

Leads and manages SAP S/4HANA rollout projects across ten EU countries. Responsible for the entire project lifecycle, from planning and execution to monitoring and closure. Requires 15+ years of project management experience, preferably in SAP implementations.

UI Designer needed to create high-converting landing pages for a fast-growing haircare brand. Responsibilities include designing UI/UX, creating visuals, and managing the visual asset pipeline. Must have experience with Figma and AI tools.

Eligible to work in Germany.

Electrical Engineering, or equivalent Fluency in English Work location: Krefelder Straße 218 52070 Aachen, Germany

Develop and test control strategies for biorobots. Conduct genetics and optogenetics experiments in non-model species.