Python állások, munkák it programozás, fejlesztés területen

• Software Development:
• Writing, testing, and maintaining high-quality code for software applications.
• Collaborating with cross-functional teams, including designers, product managers, and other developers, to create software solutions.

• Lead the design, development, testing, and maintenance of the flaQship toolkit
• Integrate the flaQship toolkit via standardized APIs into the national quantum computing full stack and enable workflow-integration with established toolkits and framework (e.g. MQT or Eclipse Qrisp)

Act as a key expert for SAP S/4HANA data migration projects, with particular focus on Material Master and Production Master (I.e., BOMs, Work Centers, Routings and Production Versions)....

• Designing, implementing, testing, and optimizing reliable, efficient, and high-quality data pipelines
• Automating the extraction, loading and transformation of data from a wide variety of sources
• Developing solutions for the automated acquisition of data from source systems

• Design of complex and scalable data solutions on the AWS cloud platform
• Development and implementation of complex and scalable data solutions on the AWS cloud platform
• Design and optimization of data pipelines
• Writing clean, efficient and maintainable SQL and Python code

• Design and implement automated test cases for backend, frontend, or API-based systems
• Collaborate with distributed teams across multiple time zones
• Participate in requirement analysis to ensure testability and clarity

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

• 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

• Work with Android source code and build system
• Develop, customize, and maintain Android BSP components
• Modify and improve Android platform components
• Develop, integrate, and maintain Android HAL components
• Collaborate with hardware teams for platform bring-up and hardware integration

• Architect scalable inference services, APIs, and backend components for model-driven and LLM-powered product features
• Productionize AI and ML workflows with strong MLOps practices
• Define and implement evaluation frameworks for model quality, system reliability, latency, and cost

• Design, build, and ship production retrieval systems
• Own vector store selection and operation including scalability, latency, reliability, cost, and multi-tenant design
• Build and operate indexing and refresh pipelines including chunking, embedding generation, backfills, deletes, and versioned indices

• Support pipeline management and forecasting improvements for different business divisions using available data sources.
• Develop and maintain analytical tools and digital platforms to improve efficiency and self-service capabilities across the organisation.

• Lead the technical lifecycle of ServiceNow and related governance platforms (IRM, Risk, Change, Incident, CMDB, Asset).
• Ensure configurations are secure, scalable, auditable, and aligned with regulatory standards.

• AI-alapú rendszerek és alkalmazások architektúrájának tervezése és fejlesztése
• Microservice és event-driven architektúrák tervezése és technikai irányvonal meghatározása
• Architekturális döntések meghozatala, beleértve a megfelelő technológiai és tervezési megoldások kiválasztását

Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning....

• Building robust, scalable technology and quantitative models supporting investment decision making, risk management, and regulatory requirements
• Contributing to the development of the Aladdin platform across diverse business areas

Design and build knowledge tracing and longitudinal learner models that support mastery and progression features surfaced to customers...

• Egyedi webes alkalmazások fejlesztése változatos projekteken
• Új felhasználói funkciók fejlesztése a Typescript használatával
• Komponensek és frontend könyvtárak építése jövőbeni felhasználásra
• Prototípus fejlesztésekben részvétel
• Backend oldali fejlesztésben részvétel

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

• Design, development, and optimization of core ML models in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, code review and sharing best practices