1480 English-speaking jobs in Munich

Working student supports (Gen)AI Transformation Management team in developing, structuring, and documenting AI use cases. Contributes to organization-wide AI initiatives and prepares presentations, analyses, and decision documents.

Manage client relationships, develop project roadmaps, and ensure smooth execution of client projects. Collaborate with internal teams and clients to achieve project goals.

Design and maintain high-throughput pipelines for ingesting and organizing large volumes of time-series camera and sensor data. Own, curate, and improve computer vision datasets for object detection and classification. Build and operate active learning loops to accelerate dataset improvements. Write preprocessing and transformation pipelines using Python, NumPy, Pandas, and Albumentations. Manage labeling workflows, including automation, QA validation, and dataset versioning. Collaborate with ML Engineers to fine-tune, train, and evaluate detection models. Analyze model weaknesses and bias to derive data improvements. Create tools to visualize and analyze dataset quality and model performance.

Develop and deploy AI-driven acoustic sensing systems for UAV detection, classification, localization, and tracking. Design, train, and extend neural network architectures for analyzing acoustic signatures and audio anomalies. Optimize real-time audio signal processing pipelines.

The Climate & Sustainability Project Lead manages sustainability-related projects and acts as the main liaison with Global Sustainability. Responsibilities include developing and reviewing Allianz SE Re's sustainability strategy, coordinating sustainability activities, and ensuring compliance with sustainability requirements.

Working Student Credit Operations supports daily credit reportings, participates in committees, and contributes to internal reports and presentations.

Working student will support the implementation of multi-agent systems and A2A communication, contributing to the design and development of intelligent AI components. Assist in deriving technical solutions from use cases and building proof of concepts. Support the design, improvement, and implementation of generative AI solutions using techniques like natural language processing, prompt engineering, and fine-tuning. Analyze models and protocols utilizing generative capabilities.

Lead the strategic and operational objectives of product lines, driving global product direction based on workflow and customer needs. Ensure sustainable business growth and success in revenue and EBIT over the long term. Manage the entire product lifecycle, from ideation to phase-out. Spearhead market introduction of new products and monitor market trends. Foster strong relationships with key stakeholders and drive performance analysis. Coach and mentor team members.

Take room service orders, prepare trays, and deliver food and beverages to guest rooms. Assist with other F&B department tasks as needed. Previous experience in hospitality or gastronomy is preferred.

Senior Presales Consultant specializing in HPC and AI platforms needed to provide technical leadership for global tenders and design tailored technology solutions for European customers.

The Technical University of Munich (TUM) seeks a Tenure Track Assistant Professor in Operations Research and AI. The successful candidate will conduct research, teach in bachelor's, master's, and PhD programs, and mentor early-career scientists. Expertise in data-driven optimization and machine learning is required.

Product & Change Portfolio Manager will synthesize initiatives into a cohesive roadmap, ensuring change is effectively adopted and delivers benefits aligned to strategic goals. Responsibilities include portfolio coordination, strategic alignment, impact assessment, user engagement, and executive sponsorship. Requires 10+ years of experience in Operations, Strategy, Change Management, or Business Transformation within a complex underwriting organization.

Working Student in Learning & Development and Communication will support the Underwriting Academy team in Unterföhring. Responsibilities include communication and promotional activities, learning administration, and project support. The role requires a basic understanding of AI and its applications in business.

Supports deal execution, platform projects, and portfolio company initiatives. Identifies investment opportunities in InsurTech, FinTech, wealth management, and related sectors. Requires a finance, business, or related degree and 2-3 years of experience in strategy consulting, private equity, venture capital, investment banking, or business development.

Shapes pricing, sales targets, and territory strategy for a fast-growing global Revenue Operations team. Owns and optimizes pricing for corporate customers and partners, tracks key revenue and cost drivers, and analyzes monthly performance. Conducts regional market analyses to identify growth opportunities and designs territories. Supports the end-to-end sales target-setting process and collaborates with cross-functional stakeholders.

Analyze automotive systems and E/E architecture evolution to define next-generation automotive systems. Engage with OEMs and Tier 1s to drive thought leadership and innovative concepts.

As a Financial (Data) Analyst, you will translate product, commercial, and operating data into forecasts, KPIs, and investor-ready narratives. You will manage financial statements, budgets, forecasting, and business cases, ensuring data integrity across the Accounts Receivable lifecycle. You will also deliver ad-hoc analysis for strategic initiatives and champion business intelligence across the company.

Senior FP&A Manager will own budgeting, forecasting, and liquidity planning processes. Responsibilities include analyzing business performance, improving financial steering, developing financial reporting, and collaborating with cross-functional teams. Requires a Bachelor's degree in a business-related field and 5+ years of experience in FP&A, Controlling, or Corporate Finance.

Lead AI programs, manage teams, and ensure technical delivery and client satisfaction. Requires data science, ML, or computer science background and experience leading complex initiatives. Proven ability to build relationships with senior stakeholders and drive business growth.

Design, build, and maintain robust data solutions and infrastructure using the Foundry platform. Develop, deploy, and troubleshoot data pipelines and processing systems. Collaborate with software engineers, ML experts, and stakeholders in a cross-functional agile environment.