Machine learning állások, munkák programozó, fejlesztő kategóriában

• Machine learning és computer vision megoldások fejlesztése járműfelismerési és közlekedési alkalmazásokhoz
• Modellek és adatfeldolgozási folyamatok tervezése, implementálása, tanítása és kiértékelése

• Building and refining critical controls to prevent Wise customers from scams
• Driving backend and frontend for scam prevention and detection systems
• Delivering tangible impact by securing customers' money and accelerating product growth

• End-to-end LLM-, RAG- és agentikus AI-megoldások megtervezése, fejlesztése, tesztelése és produkciós bevezetése.
• Coding agent skillek, MCP-szerverek, promptkomponensek, subagentek és többlépéses workflow-k kialakítása; agent harness komponensek fejlesztése.

• Komplex LLM-, RAG- és agentikus AI-megoldások célarchitektúrájának megtervezése, szakmai irányítása és produkciós bevezetése.
• Coding agent skillek, MCP-szerverek, agent harness és runtime komponensek, routing-, memory-, tool- és evaluációs megoldások kialakítása.

• Build-from-zero applications
• Bridge machine learning and product
• AI-accelerated development
• Real-time visualization
• End-to-end delivery of early-stage applications

• Client-facing communication
• Participation in pre-sales discussions
• Collaboration with sales and customer success teams
• Communication with clients' technical teams
• Design and configuration of data labeling and processing pipelines
• Combination of multiple data labeling components into automated workflows

• LLM-, RAG- és agentikus AI-megoldások fejlesztése, tesztelése és értékelése.
• Coding agent skillek, MCP-szerverek és többlépéses workflow-k kipróbálása; tapasztalattól függően agent harness komponensek fejlesztése.

• Shape and implement the company’s data science strategy and drive innovation, with a primary focus on Generative AI and Agentic workflows
• Identify opportunities to leverage data for business value and impact
• Take ownership of the full technical stack for development and deployment

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

• Ownership of on-device inference
• Design and implementation of Android inference solutions
• Development and maintenance of native Android vision layer using C++ and Android NDK
• Creation of JNI bindings connecting native components to Kotlin application

• Building and refining critical controls to prevent Wise customers from scams
• Driving backend and frontend for scam prevention and detection systems
• Delivering tangible, real-world impact by securing customers' money
• Accelerating product growth by raising automation levels

• Design and develop Python SDKs and related packages
• Contribute to the integration between a data platform and the Python ecosystem
• Build solutions for data integration and model interoperability
• Improve developer experience for Python users

Agentic AI development: Design and implement autonomous and semi-autonomous AI workflows, including planning, task execution, tool integration, context management, and fault recovery....

• Designing and developing backend services and APIs that support real-time data ingestion, transformation, and delivery
• Building scalable, low-latency, high-throughput systems capable of handling demanding performance requirements

• Development and improvement of computer vision algorithms for cricket tracking systems
• Building and enhancement of ball and player tracking solutions using multi-camera technology
• Contribution to multi-view geometry solutions to improve tracking accuracy

• Ownership of Android application architecture and implementation
• Development and maintenance of camera and media capture layer
• Coordination of connected devices as a single system
• Design of robust data and media transfer for unreliable networks
• Integration of native C++ computer vision components

• Backend and frontend development with focus on high-performance and speed
• Cooperation with product team including UX, UI, and product management
• Building and coding backend in Node.JS and frontend in React in a complex web application
• Participation in and conducting code reviews

• Design, build and deploy AI agents and multi-agent pipelines for B2B clients across sales, support, and operations
• Architect integrations between LLM layers, voice AI (VoIP/SIP), CRMs, and business workflows

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• AI-first szoftverfejlesztési rendszer kialakítása a cégcsoportnál és az ügyfeleknél
• AI-alapú belső automatizálási lehetőségek kiaknázása
• Önállóan működő, profitábilis AI-üzletág felépítése
• SaaS-termékek piacra vitele és folyamatos fejlesztése
• ProdyAI CRM/ERP és TenderAI fejlesztésének irányítása