Data állások, munkák programozó, fejlesztő kategóriában

You will take a key role in shaping and designing our edge platform for developing, testing, deploying, and operating real-time applications....

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

Shaping and evolving the architecture of MDO network automation capabilities including reusable automation patterns, interfaces and technical guidelines...

• Building AI-assisted development workflows for code understanding, documentation, build triage, and handover preparation
• Implementing workflow utilities, prompt packs, repository analysis scripts, documentation helpers, and integration adapters

• Work at leading consulting company and ServiceNow Global Elite Partner
• Be a part of rapidly growing team of ServiceNow professionals combining deep business process and technology experience: IT Service Management Consultants, Business Analysts, Project Managers, Architects and Developers

• Surgical microscopes creating surgical augmented reality
• Ultrasound devices creating 3D ultrasound imaging
• Brainlab's own Robotic Arm (Cirq)

You understand our platform architecture, existing systems and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features....

If you are enthusiastic about shaping the future of mobility and aspire to grow into a key expert or leadership role in an international environment, this programme offers the ideal foundation for your career....

• Develop and evaluate computational models for organoid development, morphology, growth, and response to external stimuli
• Analyze multimodal biological data, including microscopy images, time-lapse recordings, and potentially molecular or experimental metadata

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

Maintain, develop, and advance XDS and related data-processing software across macromolecular crystallography, electron diffraction, serial crystallography, small-molecule crystallography, and adjacent techniques, ensuring it remains robust, performant, and trusted by the community...

• Development and clinical evaluation of machine-learning models for the detection of resistance plasmids directly from routine MALDI-TOF mass spectra
• Genomic analysis of carbapenemase-producing Enterobacterales and their mobile genetic elements, using short- and long-read whole genome sequencing

• Develop and refine MxR prototypes using Godot and C++.
• Implement new features for immersive clinical applications.
• Collaborate with engineers and surgeons to evaluate prototypes in real-world settings.

• Development and testing of concepts for physical AI in surgery
• Exploring how modern AI and computer vision techniques can be employed for surgical scene understanding, synthetic data generation, and robotic automation for surgical tasks

• You understand RABOT's departments, their core processes and our AI tooling (Claude, Claude Code, our data stack) well enough to run a process-discovery session on your own.
• You've shipped your first automation into production — something a team feels immediately.

• Development of server software for the control of different devices at PITZ using the DOOCS API
• Integration of applications into the accelerator control system
• Design and implement core operational subsystems as distributed, container-based software based on structural and behavioural design models

• Development and integration of state-of-the-art machine learning algorithms for future ophthalmic and other medical devices
• Gain hands-on experience with multiple neural signal modalities

• SAP IS-U solution support for core utility business processes
• Learning functional and technical tasks including functional analysis, SAP IS-U customizing, testing, documentation, and ABAP-based development

• Design and evolve AWS-based cloud platforms and infrastructure environments
• Support cloud migration and modernization initiatives
• Work with client architecture, engineering and security teams to define practical cloud solutions

• Drive complex ABAP development within the Retail MDM domain
• Design, implement, and maintain custom master data logic, validation frameworks, and lifecycle processes
• Harmonize and optimize retail master data models (articles, suppliers, sites, assortments, listings, pricing, etc.)