Programozó állások XX. kerületben (it programozás, fejlesztés)

• Define early-stage design patterns and usage frameworks for Databricks and AI-enabled analytics capabilities 
• Enterprise data models and architectural patterns that guide IT-built pipelines in Databricks 

• Support Daily Data Production Workflows Across Multiple Asset Classes
• Perform Quality Assurance Checks On Incoming Vendor Data And Internally Generated Analytics
• Assist With Investigating Data Quality Issues
• Help Maintain And Improve Production Monitoring Tools, Dashboards, And Sign-Off Processes

• Részvétel orvosi berendezések továbbfejlesztésében
• Gyártmányfejlesztési folyamatok és tesztelési technológiák megismerése és alkalmazása
• Orvosi berendezések fejlesztési eredményeinek ellenőrzése és tesztelése
• Automatizált és manuális tesztkörnyezetek megismerése és tesztek implementálása

• 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

• Technical expertise and influence across LLVM compiler development for Arm and upstream
• Mentoring engineers inside the LLVM team and in the community
• Representation of Arm in the LLVM ecosystem, leading upstream contributions and influencing community direction

• Design and implement data pipelines processing large datasets from multiple sources
• Develop, maintain, and optimize ETL processes using tools such as Keboola, custom Python, and SQL-based transformations
• Work with marketing and advertising data sources (e.g. Google Ads, Meta/Facebook, ad servers)

• Design, reliability, and operational excellence ownership of cloud and hybrid infrastructure
• Definition, tracking, and improvement of service reliability using SLO/SLI frameworks
• Driving availability, latency, and scalability targets across platforms

• Creation and preparation of 3D assets, environments, and scene layouts for Omniverse and OpenUSD workflows
• Assembly of digital-twin scenes for industrial, facility, product, or enterprise visualization use cases

• Building and evolving the Risk Manager platform
• Developing secure, scalable microservices using TypeScript and React in a serverless architecture on AWS
• Contributing to AI-powered features for risk management
• Taking end-to-end ownership of services from development to deployment and monitoring

• Design, develop, and maintain enterprise-scale distributed applications using Java/J2EE technologies
• Build and support real-time data interfaces and backend services
• Translate business requirements into scalable technical solutions and system architectures

• End-to-end SAP technical delivery for implementation, enhancement, support, and rollout projects
• Requirement gathering and solution design discussions with business and functional teams
• Conversion of functional requirements into technical solutions and technical specifications

• 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

• Design and implement Data Pipelines in Snowflake
• Develop ingestion pipelines from various sources via Snowpipe and other means
• Create data transformations with SQL, Python, PaaS and 3rd party tools such as dbt
• Optimize existing pipelines and transformations for cost, load time, and maintainability

• Setting the technical direction for AI-enabled platform
• Architecting secure, scalable, serverless systems on AWS
• Defining patterns and governance practices for multiple teams
• Guiding AI value addition across the stack
• Mentoring senior engineers
• Leading org-wide design decisions

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 ...

• Designing and developing proof of concepts (PoCs)
• Demonstrating solutions to internal customers on a tight schedule
• Utilizing GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes
• Taking GenAI and Agentic AI solutions from concept to Proof-of-Value (PoV)

• Ownership and delivery of well-defined stories independently with understanding of team architecture, frameworks, and tools
• Active contribution to code reviews, testing practices, and maintenance of service stability

• Leading and growing a cross-functional engineering team combining developers and QA engineers
• Collaborating closely with Product Managers and Designers to shape features from ideation to delivery focusing on usability, performance, and customer value

• Setting technical direction across teams
• Leading design of secure, scalable MCP hosts and AWS microservices
• Influencing AI adoption through AI first solution design, model guidance, prompt strategy, and built-in governance and monitoring

• Configuration and evolution of enterprise AI platforms and orchestration components
• Implementation of platform capabilities and contribution to AI use case implementation
• Development of APIs, service components, and integration logic for AI-enabled solutions