565 airport worker germany English-speaking jobs in Munich

This position is part of the Global Product Technical Support team and will be located in Munich, Germany

combine working in the office with working from homeGerman classes & public transportation subsidy (if Germany-based

access to premium sports and fitness facilities via EGYM Wellpass or Urban Sports Club membership across Germany

Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide

Develop and manage international key accounts in the data center segment. Build and maintain long-term customer relationships at the C-suite level. Co-develop and implement the central segment strategy for data centers.

Develop and manage international key accounts in the data center segment. Apply sales methodologies to drive business development and co-develop the central segment strategy for data centers.

Develop and manage international key accounts in the data center segment. Co-develop and implement the central segment strategy for data centers. Build and maintain an internal cross-country data center community.

Develop and manage international key accounts in the data center segment, building and maintaining long-term customer relationships. Co-develop and implement the central segment strategy for data centers, developing go-to-market strategies and use cases.

Act as a financial business partner for the Dairy Category, providing insights and driving data-driven decisions. Ensure accurate month-end closings, own the forecasting process, and support finance transformation.

Intern supporting Route-to-Market excellence and performance. Develop and maintain Power BI dashboards, analyze KPIs, and contribute to optimization projects.

Delivers training for Beckman Diagnostics systems, applying classroom and virtual training methods. Develops, executes, and evaluates training programs and materials. Ensures compliance with safety, quality, and regulatory requirements. Builds relationships with subject matter experts to identify problems and provide solutions. Requires experience as a service, application, or trainer in chemistry, immunology, biology, or automation.

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.

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 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.

Designs the AI architecture for the AI-defined vehicle of tomorrow, defining how LLMs, VLAMs, End2End driving models, Foundation world models, and agent systems integrate into ADAS architectures. Develops prototypes, evaluation pipelines, and data models, and tests them against real-world product requirements. Collaborates with expert teams to co-create cutting-edge ADAS products spanning L2 to L4 autonomous driving.

Design end-to-end AI and data architectures for vehicles, focusing on edge computing and diverse use cases. Drive the implementation of scalable AI software platforms using the latest technologies. Provide architectural guidance to business units and development teams.

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. Co-creates and prioritizes AI use cases, assesses feasibility and value, and translates them into system and hardware requirements. Evaluates the latest AI developments and implements them where they add value.

Build, prototype, and deliver AI/ML use cases for edge devices, integrating models into the infotainment domain. Develop GenAI experiences, collaborate with model engineering, and work with UX teams to refine design and error handling.

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 shape governance and regulatory alignment for AI security. You will 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.