Architect and engineer állások, munkák rendszerintegrátor kategóriában

• 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.

• System Design: Develop software systems for large-scale robotic data collection, ensuring reliability and scalability.
• Engineering Principles: Apply structured practices to build maintainable, modular, and testable codebases.

• Design, implement and optimize effective data processing architectures in Python
• Extract, transform, analyze, clean and model data from different sources
• Implement and operate maintainable and reliable data pipelines using PySpark and Airflow with a strong focus on data quality

• Collaborate in a cross-functional team to deliver valuable product increments
• Write clean, tested, and maintainable code using industry best practices
• Contribute to technical discussions and design decisions
• Take ownership of system operations, monitoring, and performance in production

• Develop and architect FPGA designs with a focus on implementing signal processing algorithms and high-speed systems
• Analyze system requirements and derive FPGA architectures, including the definition of interfaces and modules

• Work in a cross-functional team with full ownership of the services you develop.
• Enhance platform architecture to support current and future standard processes.
• Contribute to high standards of code quality, robustness, and security.

Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems. Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued,...

Define high-level software architecture, including microservices, APIs, data flows, and integration layers and ensure that the architecture supports scalability, security, modularity, and maintainability....

• Design our software, analyze problems and implement your solutions independently focusing on C++ development and network protocols
• Develop complex software modules together with our agile development teams

implement and maintain software applications and IoT systems on AWS using Python, SQL, and Linux, and continuously optimize application performance and identify areas for improvement....

• Own technical lifecycle of 3rd party SaaS applications inventory at N26
• Design, develop, test, deploy and maintain software in a thriving environment
• Stay up to date with the latest trends in technology and you are not afraid to propose some findings during our GSDD.

• Design, optimize, and maintain high-performance databases, data pipelines, and APIs for suena's energy trading and analytics platform.
• Model complex time-series data, enable robust integrations with modelling and data science teams, and ensure data reliability and scalability.

Design, develop, implement and own products and solutions to improve the security, reliability, and scalability of N26 cloud infrastructure and systems in the workload orchestration domain...

• Act as the technical lead for SAP Ariba rollouts and enhancements
• Review initial requirements against current business processes to identify gaps or opportunities for improvement
• Provide advice on integration implementation approaches and their implications,

• 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.

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

Develop tools that enable large-scale forecasting and modelling of market sizes, market shares, and other key indicators across Statista's market insights coverage....

• Join a multidisciplinary team (electronics, software, optics, chemist, scientist) in the Machine-Readable Features group.
• Implement software on both real-time operating system and embedded Linux into efficient C/C++ code.
• Test support and troubleshoot embedded software for high-speed sensors.

• Work closely with product owners and stakeholders to analyze business needs and integrate them into the CRM system
• Define and enforce CRM development standards based on best practices and governance models
• Configure the system, workflows, automation, and integrate it with third-party systems

• Leading the analysis of integration requirements and designing robust solutions to meet business objectives.
• Developing and overseeing the implementation of integration processes using advanced middleware and APIs.