Junior python developer állás, munka

• Conducting a comprehensive literature review of state-of-the-art end-to-end autonomous driving approaches and uncertainty estimation methods
• Evaluating and selecting suitable uncertainty estimation techniques for integration into end-to-end autonomous driving systems

• Create high-level distributed system architecture aligning with business requirements and technical constraints
• Provide technical guidance and leadership to development teams, ensuring that architectural standards and best practices are followed

• Work on potential AI and/or digital twin features for future medical devices 
• Design solutions for computer vision problems towards advanced biomedical visualisations 
• Evaluate and refine your approach on real-world data 

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• Work on design, coding, and quality assurance tasks related to strategic product capabilities
• Drive platform decisions that balance security, scalability, operability, and product evolution across current and future phases
• Development activities in ABAP and Java.

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

Drive End-to-End Robotics Deployment: As a Chief Expert Robotics, you will lead the technical implementation and architecture of advanced robotic systems by translating complex algorithms into reliable, production-ready hardware and software solutions....

• 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

• 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

• 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

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks