Python programme állások, munkák programozó, fejlesztő kategóriában

• A vállalat teljes szoftverarchitektúrájának és fejlesztési szabványainak szakmai támogatása és folyamatos fejlesztése.
• Mikroszolgáltatás-alapú, skálázható platform továbbfejlesztésének irányítása.

• AI-platformok üzemeltetése fejlesztői, teszt- és éles környezetben
• AI modellek teljes életciklusának támogatása (deployment, monitoring, lifecycle management)
• Azure-alapú cloud security megoldások kialakítása és működtetése
• AI rendszerek biztonsági felülvizsgálata és kockázatelemzése

• Vállalati DevOps platform fejlesztése, üzemeltetése és optimalizálása.
• Azure-alapú production, test és development környezetek támogatása.
• Infrastructure as Code megoldások implementálása és karbantartása Terraform használatával.

• Creation and preparation of 3D assets, environments, and scene layouts for Omniverse and OpenUSD workflows
• Assembly of digital-twin scenes for industrial, facility, product, or enterprise visualization use cases

• Collaboration with internal stakeholders on user access services;
• Software development and IT operations support for web services related to user access;
• UI/UX design and development of web frontend components;
• Support of implementation of web backend services and APIs (REST/GraphQL)

• Design, develop and maintain software, tools and applications across the Baseball tracking platform
• Modernise and improve existing software systems
• Develop cross-platform C++ applications and visualisation components
• Participate in code reviews, pair programming and agile ceremonies

• Enhancement of user experience by advancing IT and enterprise technology features
• Integration of innovative, strategic, human-centered thought within the overall employee technology experience portfolio

• Design and develop automation frameworks across frontend, backend, desktop, API, and data-driven systems
• Establish testing patterns and best practices for long-term maintainability
• Develop and maintain automated UI and end-to-end test suites using Playwright or Cypress

Design and develop algorithms that reconstruct accurate 3D positional and trajectory data from 2D detections applying mathematical and physical modelling of motion projectiles and object interaction...

• Research study on state-of-the-art AI platforms and tools based on available commercial, open-source, in-house and academic field solutions
• Deep dive into our ASIC development process

• 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.

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploringthe benef world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

• Delivery on complex projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

• Operation, maintenance, and support of the demonstrator during test campaigns and demonstrations
• Extension and maintenance of the state machine orchestrating the robot's behavior
• Maintenance and improvement of the motion planning stack

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Further development and configuration of continuous integration in Gitlab and python
• Commissioning of cloud infrastructure
• Data evaluation and creation of dashboards
• Implementation of AI agents

• Delivery of complex data engineering projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent