Program állások Budapesten (it programozás, fejlesztés)

• Forming a clear point of view on product area goals for the quarter and year
• Building a well-reasoned case for product direction
• Carrying accountability for product outcomes
• Building and measuring iteratively with success metrics
• Using customer insights and market intelligence to inform product roadmap

• Form a clear point of view on product area goals for the quarter and year with a well reasoned case
• Carry accountability for product outcomes including investment justification and performance measurement
• Build and measure iteratively with incremental shipping and success metric evaluation

• 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

• Executing system data maintenance and administrative activities in Cornerstone and all relevant Learning management systems
• Providing non-systems related Learning process support

Design and build knowledge tracing and longitudinal learner models that support mastery and progression features surfaced to customers...

• Design, build, and own production features across the full stack (React, Node.js, TypeScript, and AWS)
• Collaboration on modern web experiences, ensuring smooth state management, reusable UI patterns, and resilient backend services

• Architecting complex AWS infrastructures and zero-day compliant landing zones
• Understanding customers’ business problems and providing technology consulting to identify the best-fit solution
• Owning the end-to-end solution as a key decision-maker and driving the delivery team

• Design and develop interactive 3D, XR, and digital twin applications
• Create immersive visualization experiences for industrial, engineering, facility, and enterprise use cases
• Collaborate with 3D artists, designers, software developers, and engineering teams to build high-quality digital environments

• Designing, developing, and improving ball and player tracking algorithms using multi-camera systems
• Owning and evolving multi-view geometry solutions for accurate, court-wide tracking
• Developing robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios

• 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

• 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

• Development and maintenance of Unreal Engine applications using modern C++ and Blueprints
• Building new functionality and enhancing existing graphics platform systems
• Collaboration with engineers, artists, product managers and QA teams

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Collaborative work to provide technical solutions and implement new software features

• 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

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Providing technical solutions and implementing new software features collaboratively

• Planning and leading the technical implementation of ServiceNow solutions
• System configuration and development of custom features
• Architecting and designing scalable and robust ServiceNow solutions
• Providing advanced technical consulting and support quality assurance activities

• Learning existing system architecture, codebase, tools, and development practices
• Validating existing technical documentation and flagging any gaps or outdated content
• Highlighting blockers to knowledge transfer such as missing info, unclear logic, inaccessible systems

• Delivery of complex data engineering projects across industries
• Leading small delivery teams
• Management of customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

• Building and maintaining infrastructure for large-scale data and video streaming platforms
• Supporting development teams by making deployments easier, faster, and more reliable
• Improving security by helping to monitor and prevent potential risks