Python programozó diákmunka állások, munkák I. kerületben

Átviteli rendszerirányítóként (TSO) közös tervezés az elosztókkal (DSO), együttműködés az Energiahivatallal (MEKH) a magyar villamosenergia-rendszer 132 kV-os és nagyobb feszültségű hálózatát érintő hosszú távú hálózatmodellezési, hálózatfejlesztési kérdésekben....

A vállalati SIEM (Security Information and Event Management) rendszer teljes körű üzemeltetése, konfigurálása, finomhangolása és folyamatos karbantartása;...

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• Design of evaluation framework for scalable LLM-as-a-judge pipelines
• Development of rubrics and datasets including comprehensive grading rubrics and high-quality golden datasets
• Optimization of judge prompts for automated scoring alignment

• Design and build agentic systems that plan, call tools and automate real business workflows
• Develop LLM-powered applications including RAG pipelines: chunking, embedding, retrieval strategies, evaluation and iteration

• The CloudOps Engineer is responsible for availability for cloud platforms
• Respond, troubleshoot and resolve production alarms
• Communicate and troubleshoot operational issues supporting a complex environment
• Respond to cloud service outages and manage incident tickets

• Managing day-to-day operations of Databricks data pipelines, including monitoring, troubleshooting, and performance tuning
• Maintaining Delta Lake data layers (bronze / silver / gold), ensuring data availability, consistency, and smooth pipeline execution

• 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

• Kapcsolattartás az ügyfelekkel, igények felmérése és tanácsadás
• Azure Function App fejlesztés
• Dokumentálás
• Programozás Pythonban
• Azure infrastruktúra tervezés és karbantartás
• Rendszeres ellenőrzés, frissítés és teljesítmény optimalizálás Azure környezetben
• Fejlesztések tervezésében aktív részvétel

• 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

Performing tasks related to the position....

• Building and maintaining the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework)
• Designing and implementing a 7-agent architecture including OnboardingAgent, ScopeAgent, StandardsMapper, RiskQuantifier, PolicyAnalyzer, InfrastructureAuditor, and ComplianceMonitor

• Mastering in integrating rendered layers and producing the final look of the shots
• Creating and managing additional lighting tasks

participate in diverse risk management and quantitative modeling projects for banks and financial institutions (e.g. credit risk model development and validation, market risk and valuation projects, IRRBB and liquidity risk modeling),...

• Contribution to System IP microarchitecture specification and design
• Contribution in SystemVerilog, C and C++ to verification, modelling and debug to achieve required quality levels
• Proposal and prototyping of new ways and definition of methodologies to reach goals more efficiently

• Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

• Creation of 3D rigs for different types of objects, animals and characters
• Collaboration with visual effects supervisor and Lead CG to determine best technical and creative approaches
• Delivery of work within established project targets and high quality standards

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives

• statisztikai és gépi tanulási modellek fejlesztése, karbantartása és monitorozása
• piackutatások készítése
• adatvezérelt megoldások kidolgozása az értékesítés, kárrendezés, ügyfélkiszolgálás és termékterületek támogatására

• Design and implementation of portfolio solutions for clients
• Ongoing management of portfolio solutions to meet client objectives and constraints
• Keeping up to date with client trends, industry news, events, research, and regulations