Python developer állások XII. kerületben főiskolai végzettséggel

• Integration of IPs and development of logic for subsystems
• Understanding and reviewing subsystem architecture
• Development of microarchitecture specifications
• Review of verification test plans
• Debugging and fixing issues

• 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

• Design and evolve robust cloud-native services and platforms with end-to-end ownership from ideation and prototyping to deployment, monitoring, and iteration
• Influence technical direction without direct authority by identifying architectural pain points and improving engineering standards

• Daily operational activities including handling service requests and troubleshooting complex network issues
• Design, implementation, and optimization of corporate firewall architecture focusing on security, scalability, and high availability

Vizualizáció és döntéstámogatás: Interaktív Dashboardok és riportok készítése, ahol a vezetők valós időben követhetik a cég fő mutatóit, amelyek közvetlenül támogatják a döntéshozatalt. A keletkező nagy mennyiségű adat tisztítása, rendszerezése, értelmes, emészthető és számszerűsíthető...

• Measuring performance of multi-channel patient recruitment campaigns
• Optimizing multi-channel patient recruitment campaigns
• Forecasting performance of patient recruitment campaigns
• Translating recruitment data into actionable insights
• Accelerating enrollment in clinical trials

• 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 of regional Treasury Center for inter-affiliate financing transactions

• Support technical due diligence and transition readiness using AI-assisted software engineering methods
• Analyse large software repositories to map services, dependencies, interfaces, build flows, and technical risks

• Planning, coordination, and delivery of signal detection and product safety scientist activities
• Mentoring of more junior colleagues
• Development of processes, tools, and systems
• Serving as lead on smaller FSP-type projects
• Supporting strategies for safety data generation, assessment, and communications

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

• Development of highly scalable services realizing AI/ML functionalities
• Implementation of machine learning solutions addressing computer vision and NLP use cases
• Work with Large Language Models (LLMs) and perform prompt engineering tasks

• AI-alapú rendszerek és alkalmazások architektúrájának tervezése és fejlesztése
• Microservice és event-driven architektúrák tervezése és technikai irányvonal meghatározása
• Architekturális döntések meghozatala, beleértve a megfelelő technológiai és tervezési megoldások kiválasztását

• 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

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

• IT biztonsági rendszerek és projektek üzemeltetésének szakmai támogatása
• A rendszerek biztonsági megfelelőségének biztosítása, auditok és ellenőrzések támogatása

• Design, develop, and optimize scalable data pipelines for processing large-scale structured and unstructured data
• Ensure reliability, performance, and scalability of data systems
• Build solutions to handle real-time streaming data from multiple sources

• Design and implement algorithms to process and analyze sensor data from sources like LiDAR, images, and satellite imagery
• Create algorithms to transform sensor data into actionable insights, such as reconstructing 3D models, segmenting spatial data, or detecting environmental features

• Design, implement, and strengthen security protection for IT cloud platforms, ensuring security at both infrastructure and application layers
• Participate in regular red-team/blue-team exercises, identify system vulnerabilities and security weaknesses, and propose remediation plans

• Development and enhancement of T Cloud platform in a customer-oriented manner
• Solving complex problems in the daily operation of a hyper-scaler's cloud backend
• Hardware-oriented work at the console
• Development and operation of monitoring and quality assurance
• Automation with common automation frameworks

• Understanding underlying data structure of an ERP system (Microsoft Dynamics 365 Finance & Operations)
• Creating technical specification documents for functional requirements
• Managing existing and creating new automations using Alteryx, Python, SSIS
• Creating reports and dashboards in Power BI