Python developer állás, munka

• AI-eszközök bevezetésében, integrációjában és üzleti környezetbe történő beágyazásában való aktív közreműködés
• Üzleti igények feltérképezése, valamint AI use case-ek üzleti és technológiai megvalósíthatóságának értékelése

Projektleírás: Digital Products digitalizációs programunkkal támogatást nyújtunk termékeink (Locomotive / Passenger Coach) intelligens és optimalizált használatához, biztosítva, hogy azok a teljes élettartamuk alatt, nap mint nap kimagasló színvonalú szolgáltatást nyújtsanak. Ez a gyakorlatban a...

• Build and maintain backend services and APIs using Java and Python
• Work on event-driven data pipelines based on Kafka
• Take ownership of services end-to-end: design, testing, deployment, monitoring, and iteration
• Ensure code quality, including writing and maintaining automated tests

• You develop and optimize software for embedded systems based on STM32 microcontrollers using modern C++
• You design, implement and integrate low-level functions, hardware-related interfaces and sensor drivers (e.g. via I2C, SPI, UART, CAN, Ethernet)

• Implement features and workflow enhancements and support the configuration and improvement of ServiceNow modules (e.g., Risk, CMDB, Asset, Change, Incident).
• Help maintain data consistency across Asset, Process, and Risk domains.

• 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

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)....

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

• Build and maintain backend services and APIs using Java and Python
• Work on event-driven data pipelines based on Kafka
• Take ownership of services end-to-end: design, testing, deployment, monitoring, and iteration
• Ensure code quality, including writing and maintaining automated tests

• Build Data Pipelines: Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving financial and operational data.
• Work with ERP Data: Integrate and model data from ERP systems and finance tools, including accounting, controlling, procurement, revenue, and cost data.

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• Design/build AI-ready Lakehouse architectures (Databricks, Fabric) and data pipelines for analytics/ML
• Develop financial data models (Data Vault 2.0) with governance (Purview, Unity Catalog)
• Architect AI infrastructure: Cognitive Search, RAG, vector DBs, knowledge graphs for agentic AI

• Work on design, coding, and quality assurance tasks related to specific product features.
• Build reliable, production-ready platform capabilities and help drive engineering quality across the team.
• Development activities in Java, Python, and Go, with Rust as a plus.

• Translate R&D business and user requirements into effective system, process, and automation solutions
• Design, implement, test, and continuously improve automated workflows, AI-augmented data flows and AI Agents
• Ensure stable data flows, high data quality, and reliable system operations

• Deploy, configure, and manage network switches, fabric management software, and host-software stacks.
• Monitor fabric health, diagnose link errors, and resolve performance bottlenecks.
• Run benchmarks and characterize the interconnect performance.

• Software development and programming for control systems in the power generation sector
• Commissioning and testing of software in applications and systems
• Maintenance and upkeep of application software
• Assisting the sales support team

Architect the ML Platform: Design, implement, and maintain a robust MLOps infrastructure that enables researchers to move seamlessly from local experimentation to global production....

• Define and evolve data models for R&D entities
• Design and implement robust data pipelines and automated data quality checks
• Improve traceability and metadata management so data can be understood, trusted, and reused across teams

ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR! Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...