Software development engineer állások IX. kerületben főiskolai végzettséggel

• 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

• Üzleti probléma és megoldás teljes körű megértése
• BRS véleményezése és jóváhagyása
• IT megoldás magas- és mélyszintű tervezése (funkcionális és architektúrális)
• Rendszer szintű SRS dokumentációk készítése és véleményezése különös figyelemmel az interfészekre (adatfolyamok, adatmapping)

• Design, develop, and maintain scalable web applications and backend services to support trading operations
• Collaborate with cross-functional teams including traders, product managers, and other engineers to define requirements and deliver solutions

• Leadership of Federation-wide data collection, validation, and analysis efforts for the Regional Office for Europe and Central Asia
• Coordination of inputs and setting up Federation-wide data collection tools, workflow, and process monitoring
• Development of data quality dashboards

• Development of novel data extraction tools and workflows
• Expansion of coverage of physical and natural assets and their associated attributes
• Advancement of quality assurance processes

• Building and optimizing inference pipelines for large-scale model serving
• Working with frameworks like PyTorch, TensorRT, and vLLM for efficient model deployment
• Implementing and optimizing ML models using quantization, kernel fusion, and efficient batching

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping
• Rigorously validate AI outputs to ensure quality and safety

• Részvétel orvosi berendezések továbbfejlesztésében
• Gyártmányfejlesztési folyamatok és tesztelési technológiák megismerése és alkalmazása
• Orvosi berendezések fejlesztési eredményeinek ellenőrzése és tesztelése
• Automatizált és manuális tesztkörnyezetek megismerése
• Tesztek implementálása

• Support Transmission System Operators (TSOs) And Distribution System Operators (DSOs) In Planning The Power Grid Of The Future
• Work Directly With Clients As Part Of International Consulting Project Teams
• Perform Power System Analyses (Power Flow, Voltage, Short‑Circuit, N‑1, Redispatch)

• Design, implement, and operate resilient IT infrastructure across on-premise and cloud environments (Azure/AWS)
• Ensure high availability, performance, and reliability of systems through proactive monitoring and optimization

• Define early-stage design patterns and usage frameworks for Databricks and AI-enabled analytics capabilities 
• Enterprise data models and architectural patterns that guide IT-built pipelines in Databricks 

• Részvétel orvosi berendezések továbbfejlesztésében
• Gyártmányfejlesztési folyamatok és tesztelési technológiák megismerése és alkalmazása
• Orvosi berendezések fejlesztési eredményeinek ellenőrzése és tesztelése
• Automatizált és manuális tesztkörnyezetek megismerése és tesztek implementálása

• Exploration, profiling, cleansing, and preprocessing of data for analytics and reporting
• Design and management of workflows for storing and retrieving vectorised documents to support AI-enabled use cases
• Application of embedding models to build AI-driven solutions

• Design, develop, and maintain enterprise-scale distributed applications using Java/J2EE technologies
• Build and support real-time data interfaces and backend services
• Translate business requirements into scalable technical solutions and system architectures

Development and enhancement of quantitative financial models Application of advanced technologies to real world financial problems Keeping up to date with the latest technological trends ...

Mastering Apache Spark and Databricks on AWS/Azure Delivering hands-on project work during bi-weekly sprint model Completing complex capstone projects Shadowing senior consultants on real-life engagements Delivering simulated projects Advising stakeholders and navigating requirements Contributing...

• Build And Maintain Data Models And Pipelines Using AI Coding Tools
• Build And Improve Agentic Coding Workflows To Accelerate Data Modeling And Testing
• Partner With Stakeholders To Surface Conflicting Metric Definitions And Run Alignment Workshops

• End-to-end AI solution ownership from problem definition through prototype validation and production support
• Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives

• Understanding business requirements
• Preparation and reconciliation of IT Specifications (System Design, Logical Design)
• Cooperation with developer and testing team including participation in bug analysis, IT & Business testing, and active participation in change management

• Support of daily data production workflows across multiple asset classes
• Performance of quality assurance checks on incoming vendor data and internally generated analytics
• Investigation of data quality issues such as pricing discrepancies, missing data, and analytical outliers