Python programme állások, munkák főiskolai végzettséggel

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Operationalize AI and machine learning solutions combining custom models with cloud and third-party AI services
• Assess client needs and data for AI/ML solutions

• Fejlesztés távközlési szoftvertermékekben
• Webes applikációk készítése chat, SMS, VOIP szolgáltatások fölé
• React JS-ben szabványos komponensekből generált felületek létrehozása
• TypeScript, JavaScript, HTML, CSS használata
• Modern hálózati üzenetküldési módok alkalmazása

• As a professional, you will be calculating the capital requirement based on group standards and ensure compliance with specifics of local legislation and portfolios;
• Playing a major role in calculation and reporting of SCR/ECR (regulatory and internal capital requirement);

• CRM kampányok támogatása: célcsoport‑lekérdezések és leválogatások üzleti igények alapján
• Megvalósult kampányok eredményességének elemzése, összefüggések feltárása
• Rendszeres és ad hoc riportok készítése és működtetése
• Tulajdonosi és belső adatszolgáltatások előkészítésének támogatása

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Collaborative work to provide technical solutions and implement new software features

• Technical management of a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients
• Development of highly scalable services realizing AI/ML functionalities

Szakmailag irányítod és összefogod az analitikus CRM és lakossági adatmenedzsment terület munkáját, biztosítva az analitikus szakértők szakmai támogatását, fejlesztését és feladataik összehangolását....

• Working across the software stack including firmware, operating systems, device drivers, compilers, runtimes and middleware
• Developing high-performance software for Arm’s advanced architectures, CPUs, system IP, and integrated sub-systems
• Exploring firmware and OS interactions

• Development, governance, deployment, and enhancement of liquidity analytics models and supporting infrastructure across asset classes
• Driving the analytics product lifecycle including prioritization, roadmap decisions, and deployment into production

• Develop an efficient and reproducible workflow for application-oriented machine learning solutions.
• Be involved in sample preparation and data acquisition in the laboratory for full data ownership

• Accounting for intercompany transactions
• Accounting for special business events
• Monthly, quarterly, and annual financial close activities
• Reconciliation and investigation of billing and cost allocation queries
• Support for regional Treasury Center on inter-affiliate financing transactions

• On-prem és felhős infrastruktúra (Windows Server, VMware, Azure) napi szintű üzemeltetése és naprakészen tartása (patch telepítések, frissítések)
• Virtualizációs környezet (VMware) adminisztráció és optimalizálás
• Microsoft alapú infrastruktúra (AD, DNS, DHCP, GPO) működtetése

• Build use cases and configure security tools and technologies (e.g. SIEM, xDR) to detect security events and potential incidents
• Participate in Security Operations & alert monitoring: conducting incident assessments, determine impact and root causes, provide reports and recommendations

• Conduct multi-omics data integration and advanced statistical analyses in ongoing and newly initiated projects on metabolic diseases
• Develop and apply machine learning models for biomarker discovery, patient stratification, and prediction of disease trajectories

• development of physics-guided machine-learning models for composition-process-structure-property relationships in magnesium alloys
• combination of crystal plasticity, phase-field, precipitation, and machine-learning approaches into a unified digital twin framework

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

• Research and identify suitable prediction approaches, including kinematic and dynamic models, Kalman filters, regression techniques, data-driven methods, and hybrid approaches
• Implement prototypes in Python and integrate selected methods into C++ applications where appropriate

• Lead design, development, implementation, validation, and continuous improvement of automation systems enhancing Inventory Control processes
• Drive automation projects from concept through deployment ensuring delivery on time, within scope, and aligned with business objectives