Python programozó diákmunka állások Budapesten (programozó, fejlesztő)

• Delivery of AI-assisted handover and due diligence support with emphasis on automation, repeatability, evidence generation, and reusable workflow packaging
• Creation of repeatable AI-assisted workflows for assessment, documentation, and transition of a cloud software stack derived from OpenStack

• Development, testing, and maintenance of data pipelines to extract, transform, and load data from various sources
• Writing high-quality, maintainable Python code
• Participation in code reviews
• Participation in technical discussions for tool selection and architectural decisions

• Building robust, scalable technology and quantitative models supporting investment decision making
• Supporting risk management and regulatory requirements for BlackRock and its global client base
• Contributing to the development of the Aladdin platform across diverse business areas

• Design, develop and maintain software, tools and applications across the Baseball tracking platform
• Modernise and improve existing software systems
• Develop cross-platform C++ applications and visualisation components
• Participate in code reviews, pair programming and agile ceremonies

Analysis of large software repositories to map services, dependencies, interfaces, build flows, and technical risks relevant to technical due diligence...

• Test and validate data recording and sensor calibration tools in testbench and real prototype vehicle environments
• Collaborate with various development teams to deliver technical solutions

• 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

• Kutatás és fejlesztési projektek végigkövetése a tervezéstől az átadásig
• Beágyazott vezérlők programozása C nyelven
• Prototípus berendezések beüzemelése
• Prototípus berendezések tesztelése
• Gépész-, villamos- és mechatronikai mérnökökkel való együttműködés
• Dokumentáció írás angolul és magyarul

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms
• Creation of software stacks for Arm’s reference platforms for future Arm devices
• Development of test code

• 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

• Development of the Tulip OS
• Maintenance and support of bootloader, kernel, and userspace for Tulip hardware
• Identification of key features and product performance
• Contribution to strategic planning
• Maintenance of the Tulip Operating System including building, packaging, and support

• Architect scalable inference services, APIs, and backend components for model-driven and LLM-powered product features
• Productionize AI and ML workflows with strong MLOps practices
• Define and implement evaluation frameworks for model quality, system reliability, latency, and cost

• Design, build, and ship production retrieval systems
• Own vector store selection and operation including scalability, latency, reliability, cost, and multi-tenant design
• Build and operate indexing and refresh pipelines including chunking, embedding generation, backfills, deletes, and versioned indices

• Design of complex and scalable data solutions on the AWS cloud platform
• Development and implementation of complex and scalable data solutions on the AWS cloud platform
• Design and building of data pipelines to ensure efficiency and reliability
• Optimization of data pipelines

• 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

• Design, implement, and maintain scalable BI and data processing solutions
• Develop and operate ETL pipelines for customer, booking, and product data
• Integrate data from various file- and REST-based Magenta APIs
• Generate and deliver reports and datasets for multiple downstream consumers

• Providing technical assistance and guidance to data engineering and machine learning community
• Taking ownership of difficult technical problems
• Participating in the vision for data engineering through documents and conversations
• Getting buy-in from stakeholders and leadership

• 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

• Implementation and improvement of business objects for mobile network infrastructure in backend systems up to the API layer
• Development and maintenance of business objects including data models, backend logic, and APIs