Ai applications engineer állások Németországban (it programozás, fejlesztés)

• Define, own and run the AI evaluation strategy for AI products in life sciences, diagnostics, and biotechnology.
• Design and implement robust evaluation frameworks for agentic workflows, LLMs / NLP, computer vision and multimodal models.

Collaborate with the Senior Director and the broader team to develop AI-driven product improvements and create new products for Danaher devices, with an initial focus on imaging devices and the aim of extracting more valuable insights....

Develop and maintain project plans, goals, deliverables, schedules, and budgets in collaboration with the initiative lead, stakeholders and in accordance with DBS frameworks....

Lead large-scale creative and marketing operations transformations by harnessing Adobe's Generative AI solutions to drive organizational evolution....

Design, implement, and build data and AI solutions adding business value (Service Efficiency, Sales) – linking strongly to IOT data and other proprietary data sources...

• Build internal tools and AI-driven features to automate research workflows and accelerate global market research projects
• Implement and extend backend and frontend services using Python, Django, HTMX and JavaScript, including RESTful APIs, data models, and background tasks

• You will take technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• Furthermore, you will independently identify, evaluate, and manage AI-related projects.

• Further & new development of DNNs and (local) LLMs and their combinations for identifying process steps in web and desktop applications
• Further & new development of graphical algorithms with the same purpose
• Integrate those models and algorithms into our existing solutions

You will take responsibility for specific areas in the design and continuous development of our AI and data platforms - from concept to productive operation....

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.

You build, validate, and analyse finite element models (FEA/FEM) for structural, crash, noise, vibration, roughness, and aerodynamic simulations....

You build, validate, and analyze finite element models (FEA/FEM) for structural, crash, noise, vibration, harshness, and aerodynamic simulations....

• You own the strategy and roadmap for domain specific foundation models; align with engineering and production leaders.
• You build and adapt large language, reasoning, and multimodal models for automation at scale.

• You build and adapt large language, reasoning, and multimodal models for automation across engineering, manufacturing, and robotics.
• In addition, you create data flywheels and scalable data pipelines, define and curate high-quality fine-tuning datasets, and design efficient annotation workflows.

Translate complex business challenges into scalable data and AI products, guiding them from ideation to implementation. Use cases span pricing intelligence, sales rep activity planning and shop assortment optimization....

• Contribute to the development of Gen/Agentic AI and Data solutions
• Get practical experience in implementation operation of AI Use cases across various business areas within Allianz Re
• Explore and ensure the quality of our comprehensive databases.

• Maintain and support the IFS ERP system, focusing on interface solutions to connect external cloud applications and exploring AI integration.
• Provide backup and troubleshooting for the Qlik Sense BI platform, including resolving availability issues and supporting BI/reporting developments.