Python developer állások, munkák it programozás, fejlesztés területen

• Design and evolve robust cloud-native services and platforms with end-to-end ownership from ideation and prototyping to deployment, monitoring, and iteration
• Influence technical direction without direct authority by identifying architectural pain points and improving engineering standards

• 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, develop, and maintain AI agents for manufacturing use cases (e.g. quality inspection, anomaly detection, process optimisation), using machine learning, deep learning, GenAI, rules, and reasoning....

• Design of evaluation framework for scalable LLM-as-a-judge pipelines
• Development of rubrics and curation of high-quality golden datasets
• Optimization of judge prompts for automated scoring
• Full-stack product development contribution
• Integration of automated evaluations into CI/CD pipelines

• 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

• 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

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

• 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....

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