Phd head cms javascript jquery állások Németországban (programozó, fejlesztő)

• develop physics-informed, self-supervised learning approaches for phase retrieval
• implement reconstruction algorithms on HPC clusters for large-scale hierarchical tomography
• apply algorithms to experimental tomographic data
• collaborate closely with beamline scientists and project partners

• Customer-facing frontend applications built on contemporary web frameworks
• Backend platforms based on cloud-native, containerized microservices architectures
• Native and cross-platform mobile applications for iOS and Android ecosystems
• Ownership and accountability

• The People Lead: You guide and mentor your team members, fostering a culture of ownership and continuous improvement
• The Value Stream Lead: In close partnership with Product, you turn ideas and priorities into features for our customers, maximizing their engagement

Solution Development: Design and develop customised solutions within Salesforce to meet project objectives and business goals, ensuring robust functionality and seamless user experiences....

• Join a multidisciplinary team working on the forefront of generative AI applied to the engineering domain.
• Furthermore, you will develop a deep understanding of machine learning models applied to 3D geometries such as CAD files and simulations.

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Design and implement modern front-end interfaces for energy performance dashboards and AI-driven applications
• Develop interactive visualizations and compelling data storytelling components for business stakeholders

• Build server-side logic using Shopify Functions and develop custom apps on GCP (Cloud Run, PostgreSQL) to power platform operations.
• Manage multi-org pipelines using a single codebase to serve multiple Shopify Plus organizations with independent services and a shared database.

• Design, build and operate scalable test automation frameworks for enterprise environments
• Drive and consult on test automation strategies for our customers
• Develop and maintain automated test cases (e.g. regression, integration, system and acceptance tests)

As a research engineer, you will be at the forefront of pioneering system design, with the responsibility to architect, develop, and deploy sophisticated AI systems that seamlessly integrate reinforcement learning with agentic AI systems and multi-modal foundation models....

Responsibility for support further development, and optimization of our Microsoft Dynamics CRM system (Sales, Customer Service, Customer Insights)...

As a Research Engineer, you will develop cutting-edge Vision-Language-Action (VLA) architectures that empower AI agents to interpret human instructions and act autonomously in complex environments....

Use your familiarity with the Kubernetes controller runtime framework and/or modern front-end frameworks such as Vue.js to design, develop, test, and deploy new features for the Gardener Dashboard and gardenctl, the UI and CLI that power our platform....

As an AI Research Engineer at Bosch, you will explore a variety of real-world use cases that can significantly benefit from cutting-edge Large Language Models (LLMs), end-to-end trained ADAS systems, and AI agents....

• 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.

• Take end-to-end responsibility for complex projects or defined areas of ownership
• Act as a senior expert on technical and business topics, driving high-quality solutions
• Work independently, set priorities, and resolve complex cross-functional challenges

• Take end-to-end responsibility for complex projects or defined areas of ownership
• Act as a senior expert on technical and business topics, driving high-quality solutions
• Work independently, set priorities, and resolve complex cross-functional challenges

• Closely follow the latest AI research and technology developments, identify relevant advances, and assess their practical potential for enterprise use cases
• Rapidly prototype and test new methods, architectures, and system patterns against realistic business problems, workflows, and data

As a research engineer you will develop innovative methods for the validation and release of complex AI models, including probabilistic, generative, and large‑scale models....

• Join a multidisciplinary team working on the forefront of generative AI applied to the engineering domain.
• Furthermore, you will develop a deep understanding of machine learning models applied to 3D geometries such as CAD files and simulations.