6042 germany English-speaking jobs in Germany

You possess a valid work permit for Germany. You possess a valid driving license. ... Flink is the leading quick-commerce delivery service for supermarket products in Germany and is experiencing

You possess a valid work permit for Germany. You possess a valid driving license. ... Flink is the leading quick-commerce delivery service for supermarket products in Germany and is experiencing

You possess a valid work permit for Germany. You possess a valid driving license. ... Flink is the leading quick-commerce delivery service for supermarket products in Germany and is experiencing

Since 2000, Tieto has been represented in Germany. ... With about 100 experts, Tietoevry Germany is committed to develop enterprises and society through IT

Since 2000, Tieto has been represented in Germany. ... With about 100 experts, Tietoevry Germany is committed to develop enterprises and society through IT

Since 2000, Tieto has been represented in Germany. ... With about 100 experts, Tietoevry Germany is committed to develop enterprises and society through IT

Since 2000, Tieto has been represented in Germany. ... With about 100 experts, Tietoevry Germany is committed to develop enterprises and society through IT

This role involves preparing and publishing the Group's external financial reports, including annual and interim financial statements, ensuring compliance with IFRS and internal reporting standards. Responsibilities include managing the disclosure tool, preparing and reviewing notes and disclosures, and acting as the primary point of contact for external auditors on reporting matters.

This Senior Expert role focuses on preparing and publishing the Group's external financial reports, including annual and interim statements, management reports, and regulatory filings. The role ensures compliance with IFRS and internal standards, manages the disclosure tool, and acts as the primary point of contact for external auditors.

Validation Engineer will build and operate cloud-based validation environments for a multi-agent AI system. Responsibilities include designing AI-assisted exploration strategies, developing coverage models and metrics, establishing validation methodologies, and building observability tooling.

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.

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 end-to-end AI and data architectures for vehicles, focusing on edge computing and diverse use cases. Build scalable AI software platforms using the latest technologies and leverage in-house software stacks. Define interfaces between platforms and applications, ensuring new requirements are integrated into AI and data platforms.

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.

Develop and optimize embedded machine learning models for connected vehicles. Own the full lifecycle of models, from concept to production deployment. Collaborate with software, machine learning, and semiconductor specialists. Apply state-of-the-art compression techniques and optimize for runtime, compute, and memory efficiency.

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.

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, fostering best practices in architecture, security, and platform engineering.

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.

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.

Designs data pipelines for ingestion, curation, and versioning of data. Implements training and fine-tuning builds for GenAI edge device models. Sets up experiment tracking and artifact registries. Builds evaluation suites covering KPIs such as latency, memory, and safety. Optimizes dataset construction for small LLMs.