Senior electrical engineer állás, munka

• Identifying and monitoring risks extends to risk-related responsibilities in all departments of the entity
• Identifying and monitoring of risks and recording them in the global IT tools
• Acquaintance with relevant risk related policies and ensuring compliance with these rules, policies and procedures.

Process Oversight: Support the planning, implementation, optimization, and measurement of business processes to drive operational excellence....

• A projekteket teljeskörűen menedzseled az engedélyeztetéstől az üzembe helyezésig
• Hatósági engedélyezési és kormányhivatali eljárásokat bonyolítasz le (igénybejelentéstől a használatbavételi engedély megszerzéséig)

• Kapcsolattartás az igénylő területekkel és BA-kkal.
• Részvétel a bank belső agilis fejlesztésiben és a külső fejlesztőkkel való kapcsolattartás elsősorban AI-megoldások bevezetése és továbbfejlesztése érdekében.

• Az üzletág tagjai által használt megoldások és alkalmazások támogatása
• Helyszíni IT támogatás nyújtása a budapesti gyártó leányvállalat számára
• Kapcsolattartás, együttműködés az üzleti és meglévő projektcsapatokkal új alkalmazások/megoldások kapcsán

• Adatigények lefordítása az adattárház különböző rétegeire és a forrásrendszerekre. 
• Adattárház és forrásrendszeri adatok elemzése SQL-ben.
• Koncepcionális adatmodellezés.
• Adattárház fejlesztési specifikáció írása, az adattárház fejlesztésére vonatkozó javaslatok véleményezése.

• Own and deliver end-to-end Salesforce solutions - from analysis, design, and development to deployment, monitoring, and incident response
• Lead and independently drive technical projects within the team and across domains, acting as a mature and solution-oriented technical counterpart

• Feel and take ownership of the digital product roadmap, ensuring alignment with business objectives, customer needs, and technical feasibility.
• Develop user stories based on a deep understanding of customer/user needs and run the whole process until value creation

• Implement and productionise ML-based services using Sagemaker
• Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions.
• Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.

• 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

• You will take a key role in developing our secure edge platform for real-time data processing applications.
• You will design, implement, and evolve robust, and observable platform components, APIs and SDKs for developing, deploying, and operating real-time applications.

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

To deliver high-quality, user-focused frontend experiences, you build complex UI features in React & Next.js, develop component-based UI systems and optimize UX together with our Product Managers and Designers....

• 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

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• 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.

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• 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.

• 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.

You build, validate, and analyse finite element models (FEA/FEM) for structural, crash, noise, vibration, roughness, and aerodynamic simulations....