1782 germany English-speaking jobs in Munich

Leads end-to-end delivery of SAP S/4HANA programs, ensuring alignment with client objectives and industry best practices. Drives governance, manages timelines, and coordinates cross-functional teams for successful SAP implementations. Provides leadership to SAP project teams, adopts best-fit methodologies, and oversees change control and risk management processes.

Support daily logistics and warehouse operations, including order processing, shipment, and stock management. Coordinate spare parts, returns, and communication between warehouse and internal stakeholders. Assist with invoice processing, rate card comparison, and cost analysis.

Develop and scale Large Industry Models (LIMs) for the BMW Group, bridging the gap between generic foundation models and industrial environments. Lead an engineering team building multimodal foundation model stacks and guide technical and architectural decisions.

Intern will contribute to corporate development projects, analyze growth opportunities, and conduct competitor intelligence.

Support AI-assisted content production by building and improving workflows, connecting 3D data and AI, and integrating AI-generated content.

Leads the Regional/Local E-Compliance team, ensuring alignment with Daiichi Sankyo's DX Data Governance. Manages the IT QA portfolio, oversees GxP projects, and drives Computerized Systems Validation (CSV) compliance.

Lead AI Engineer for cross-divisional AI and Generative AI initiatives. Shape BMW's AI technology roadmap, define standards for applied LLMs, and develop methods for Generative AI. Coordinate collaboration with internal and external partners. PhD in a STEM field or Master's degree with broad experience in AI innovation projects. Proven success in delivering industrialized AI or Generative AI solutions. Deep expertise in at least two areas: Generative AI, LLM architectures, NLP, Computer Vision, MLOps, or AI platforms. Strong Python skills and experience with frameworks such as LangChain, LangGraph, HuggingFace, PyTorch, or TensorFlow. Familiarity with applied LLM methods such as RAG, prompt optimization, agentic workflows, and semantic data concepts. Experience in AI governance, integration, and lifecycle management in production environments. Understanding of AI compliance and regulatory frameworks is an advantage.

Senior AI Platform Security Engineer will define architecture standards, security policies, and ensure global scalability for AI platform services. Responsibilities include designing a multi-layered defense strategy against AI threats, establishing the security lifecycle for LLMs/Agents, and acting as a trusted advisor for legal and compliance teams.

As a Service Partner Manager, you will be responsible for the performance, governance, and development of IONITY's service partners across 24 European countries. You will manage service partner performance, build relationships, and drive continuous improvement initiatives to ensure high-quality network operations.

As a Supplier Management Coordinator, you will support the efficient administrative and operational management of suppliers and service partners. You will handle procurement processes, prepare reports, analyze data, and coordinate with internal and external stakeholders.

As a Reverse Engineer, you will analyze, deconstruct, and understand IONITY's charging hardware. You will identify vulnerabilities, troubleshoot failures, and develop solutions for improvement. You will support the supply chain by conducting failure analyses and exploring repair options.

Project Manager Application Engineering will manage technical projects focused on developing and testing customized customer solutions in optical measurement technology.

Senior AI Platform Engineer needed to lead and implement large-scale AI solutions in cloud or edge devices. Requires 5+ years of experience in AI platform engineering, training & inference, or AI tooling. Must have experience with machine learning, generative AI, and programming languages like Python, Node.js, Java, or Go. Deep understanding of cloud architectures (AWS), container orchestration (Docker, Kubernetes), and (ML)Ops is essential.

Senior AI & Data Tooling Engineer/Data Steward needed to drive AI transformation at BMW. Requires a university degree in a relevant field, at least 5 years of experience in data management, AI platform engineering, or tooling, and strong programming skills in Python.

Senior AI & Data Strategy Lead needed to drive AI transformation at BMW. Requires a university degree in a relevant field, 5+ years of experience in AI, data, or technology-driven transformation, and a proven track record of successful AI initiatives. Must possess strong strategic, analytical, and conceptual skills, and the ability to work across organizational boundaries.

Senior AI Model Developer with 5+ years experience in developing, deploying, and maintaining AI/ML models in a business setting. Expertise in modern ML methods, Python-based ML stacks, and production environments. Strong understanding of data quality, bias, robustness, and compliance requirements. Excellent written and spoken English skills. Knowledge of German is advantageous.

Lead Agentic AI Orchestration (f/m/x) required for BMW Group in Munich. University degree in computer science, data science, engineering or a comparable field. Several years of professional experience with AI systems and practical expertise in agent-based AI. Experience in analyzing processes, identifying potential for change through AI and developing automated processes using AI agents. Experience in the use of pre-trained large language models, context engineering, retrieval augmented generation and knowledge retrieval.

The Rework & Retrofit Coordinator will track, analyze, and report on rework, retrofit, and modification activities for the BOXER program. This role ensures proper control, documentation, and monitoring of technical changes and field-reported issues.

Junior AI Engineer sought to develop and industrialize AI solutions, leveraging expertise in areas like Generative AI, Computer Vision, or NLP. Requires 3+ years software development experience with Python and 2+ years implementing AI solutions using frameworks like LangChain or PyTorch.

Senior AI & Data Platform Engineer needed to build and operate enterprise-wide AI or data platforms. Requires 5+ years of experience in software or platform engineering, cloud experience (AWS or Azure), and knowledge of CI/CD, automation, and infrastructure as code. Experience with machine learning or generative AI, programming languages (Python, Java, or Go), and API technologies is essential.