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Munkakörhöz tartozó feladatok ellátása....

Munkakörhöz tartozó feladatok ellátása....

• take ownership of customer receivables, ensuring outstanding invoices are followed up and payments are collected in a timely manner
• maintain regular contact with business partners regarding open items and support the resolution of payment-related issues

• Ansible és Kubernetes szkriptek írása
• részvétel konténerizáció és Git alapú CI/CD folyamat létrehozásában, automatizálásban
• egyedi fejlesztésű rendszereknek a release menedzselése, adminisztrálása, átadása ügyfélnek és telepítés teszt környezetben
• kapcsolattartás ügyféllel

• Webalkalmazások és weboldalak frontend fejlesztése HTML, CSS, JavaScript és modern frontend keretrendszerek használatával
• Felhasználói felület (UI) és felhasználói élmény (UX) tervezése és implementálása
• Alkalmazások reszponzív és keresőbarát (SEO) kialakítása

• Provide expert support for the myExpenses (Travel & Expense) platform and corporate credit card processes.
• Support employees with expense-related queries, issue resolution, and system guidance.
• Manage and resolve requests through a ticketing system (non-call center environment).

A projektek tervezésének, ütemezésének és végrehajtásának támogatásaA csapat tagjai, valamint az ügyfelek és más érintettek közötti kommunikáció koordinálásaA projekt előrehaladásának nyomon követése, a lehetséges problémák proaktív kezelésePontos projekt-dokumentáció és jelentések...

• Reconciliation of all supplier balances with supplier statements and the general ledger
• Invoice matching to purchase orders, checking correct payments, and following authorization procedures and invoice approval process
• Initiating and posting daily and weekly vendor and customer payments

• Coordination of new construction and refurbishment projects in substations
• Acting as central interface between engineering, planning, and implementation
• Coordination of internal technical disciplines and external partners
• Ensuring smooth project execution throughout all project phases

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform
• Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring

• Successful protocol level execution of SMM deliverables involving start-up, execution, and close-out for assigned sites/study(s)
• Site related study execution including monitoring visits, site evaluations, site selection, activation, monitoring close out and visit reports

• End-to-end AI solution ownership
• Partnership with product managers and business stakeholders for problem translation
• Independent planning and execution of research and experimentation
• Design of AI solutions with system-level perspective

• Application development leadership
• Application implementation oversight
• Application monitoring and issue resolution
• Application maintenance management
• Application support provision
• Data validation against official sources
• Request management for data modifications

• This is a night shift position, working between 9:00 pm – 5:30 am CET
• Responsible for customer-related activities and ensuring client satisfaction.
• Ensure the account team is delivering to the agreed upon service level and ensure client satisfaction.

• Definition of end-to-end scalable, resilient and efficient architectures for advanced AI systems
• Collaboration with delivery teams to translate architectural designs into work items
• Identification and resolution of architectural challenges during project execution

• Support ongoing ESG regulatory compliance work including monitoring and incorporating new UK and ESMA requirements into the firm's compliance framework
• Assist with compliance reviews, assessments, and monitoring activities

• Identify AI and automation opportunities across business processes
• Work with different departments to understand processes, pain points and repetitive activities
• Challenge existing ways of working and propose simpler, automated or completely new approaches

• Design and development of interactive 3D, XR, and digital twin applications
• Creation of immersive visualization experiences for industrial, engineering, facility, and enterprise use cases

• Writing production-quality, well-tested scraper code in Python
• Learning the architecture of the collection platform including scrapers, proxy layer, queues and enrichment API
• Debugging issues across multiple components using logging, monitoring and alerting tools

• Design, build, and operate the firm’s AI platform including shared services, APIs, SDKs, and tooling
• Drive architecture across scalability, reliability, security, developer experience, and cost