Python programmer állások, munkák főiskolai végzettséggel

• An opportunity to build the foundation for next-generation products
• The possibility to learn and implement cutting edge 3D computer vision methods
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following the internship

• Adatforrások integrálása a vállalat új Data Lakehouse platformján
• Adatbetöltési folyamatok fejlesztése a vállalat új Data Lakehouse platformján
• Skálázható adatfeldolgozó folyamatok fejlesztése
• Adattranszformációk fejlesztése
• Adatfeldolgozó folyamatok optimalizálása

• Building scalable testing frameworks
• Designing comprehensive test suites covering unit, integration, and acceptance testing
• Collaborating with engineers and data scientists to embed quality practices throughout the development lifecycle

• Analysis and research of cloud-native tools and frameworks for Google Cloud Platform solutions
• Support for the T-Systems Public Cloud Product Management Team in building and defining solutions

• Building one governed front door for every lead with validation, de-duplication, consent, and enrichment
• Building AI-native lead qualification models with comprehensive signal analysis and explainable scoring
• Building intelligent lead routing with territory, capacity, availability, and priority data

• 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

• 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

• 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

• Fejlesztés és megvalósítás komplex generatív AI alkalmazásokban a felfedezéstől a bevezetésig
• Legjobb gyakorlatok keretrendszerének kialakítása felhőarchitektúrák telepítéséhez AI ügynökök támogatására, költség, teljesítmény és biztonság fókuszával LLM munkaterhelésekhez és vektor kereséshez

• Design, deploy, and manage scalable cloud and hybrid infrastructure environments with a primary focus on automation, reliability, and security
• Build and maintain Infrastructure-as-Code solutions using Terraform and other automation tools to provision and manage AWS and on-premises resources

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• 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

• Build and maintain scalable, reliable, and secure environment on AWS using Infrastructure as Code tools
• Oversee the deployment, configuration and management of clusters
• CI/CD pipeline development with designing and managing CI/CD pipelines, Infrastructure as Code, and GitOps toolset and skillset

• 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

In this position, you take technical responsibility for the digital design scope in ASIC projects, coordinating specification, development, and integration across all stakeholders. You align requirements, structure execution, and drive key technical decisions to ensure a robust and consistent...

• Designing, developing, and evaluating machine learning models on complex telecom and retail data
• Transforming high-volume datasets into production-ready solutions such as churn prediction models and point-of-sale fraud models

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

Second-Line Oversight: Provide independent oversight and constructive challenge of the Consumer Deposits operational risk profile. Review and challenge first-line risk assessments, control design and effectiveness conclusions, ratings, remediation plans, and risk-acceptance decisions, escalating...

Advise business units and senior stakeholders on AI opportunities, strategic priorities, target operating models, and the practical implications of emerging AI technologies...

• CI/CD pipeline stability ownership across MFT and MFT Enterprise
• Kubernetes-based on-premise deployment environment building and baselining for MFT Enterprise
• Single-resource dependency reduction on infrastructure through documentation, cross-training, and automation