Software development engineer állások, munkák XX. kerületben

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• 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

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

• Preparation of business concept and business strategy
• Review, analysis and evaluation of business systems, user requirements and processes
• Definition of business goals and KPIs
• Cooperation with developer and testing team
• Participation in User Acceptance Testing

• Magas szintű technikai és üzleti tanácsadás ügyfelek számára az Atlassian termékekkel és saját fejlesztésű megoldásokkal kapcsolatban
• Ügyfelek üzleti és IT folyamatainak felmérése
• Komplex megoldások tervezése, bevezetése és minőségbiztosítása

• Design and ship production-grade agentic systems
• Take technical ownership of Compliance in a Box (CiaB) AI platform
• Architect and evolve AI reasoning layer and agent orchestration framework
• Build and maintain the GRC Brain and Agentic Cortex technical core
• Design and implement a 7-agent architecture

• Review the existing Adobe Commerce architecture, integrations, and operatingmodel with focus on synergy potential between both instances
• Identify strengths, risks, bottlenecks, and optimization potential (extension, newfunctionalities, integration into website/marketplaces)

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

• 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

• 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

Performing tasks related to the position....

• Development, customization, and maintenance of ServiceNow applications, modules, and integrations
• Collaboration with cross-functional teams to understand business requirements and translate them into technical solutions

• 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

• Kutatás és fejlesztési projektek végigkövetése a tervezéstől az átadásig
• Beágyazott vezérlők programozása C nyelven
• Prototípus berendezések beüzemelése
• Prototípus berendezések tesztelése
• Gépész mérnökökkel való együttműködés
• Villamos mérnökökkel való együttműködés

• Manage all aspects of day to day pricing process for the car parking business.
• Decide tactical pricing and recommends changes to pricing and yield management strategy.
• Development of up-sell, cross-sell and bundling strategies to maximise basket value (average transaction values).

• provide 1st and 1.5 level support for developer and tester colleagues within the Siemens Group
• handle problems and requests concerning the systems we operate via multiple ticketing systems both in English and German

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

• Analyze data from multiple sources, identify trends, anomalies, and opportunities, and synthesize findings into concise, business-relevant conclusions and recommendations.
• Monitor and report costs and facilitate cost meetings

• Design, build, and maintain scalable data pipelines using Python, SQL, and cloud-native data services.
• Develop and manage data transformation workflows with dbt and Apache Airflow.
• Build and optimize batch and streaming data processing solutions using distributed frameworks and messaging platforms.