Machine learning állások, munkák

• Direct EHS support to manufacturing and operational facilities through routine site visits, assessments, audits, and leadership engagement
• Partnership with facility and regional leadership teams to improve EHS performance, strengthen safety culture, and drive continuous improvement initiatives

• 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....

• Contribution to test strategy and development of test plans for future Arm products
• Definition and improvement of test architecture for automated testing and validation
• Development of test cases for embedded Linux systems from first power on to end-to-end use cases

Lead the design, development, implementation, validation, and continuous improvement of automation systems that enhance Inventory Control processes and optimize material handling and material flow across manufacturing and warehouse operations including AMRs, AGVs, AGFs, and other autonomous...

• 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

Design, develop, modify and technically specify production equipment, tooling, inspection/measuring devices, assembly processes and functional test solutions....

• 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

• Leading and developing the three-person QC function including workload planning, prioritization and performance management
• Defining daily and weekly QC priorities based on project deadlines, production capacity and quality risk

• AI alkalmazási lehetőségek (use case-ek) üzleti és technikai értékelése, priorizálása, megtérülésük vizsgálata.
• Üzleti folyamatok feltérképezése, elemzése és AI-alapú újratervezése.
• Folyamatfejlesztési workshopok szervezése és vezetése az üzleti területek bevonásával.

• Új üzleti partnerek felkutatása és megszólítása – telefonon, e-mailben, LinkedInen és személyesen
• Bemutatók és tárgyalások vezetése cégtulajdonosokkal, ügyvezetőkkel – az irodában, online és az ügyfélnél

• AI, Microsoft 365 és Copilot oktatások, workshopok szervezése és megtartása különböző felhasználói csoportok számára.
• Gyakorlati oktatási anyagok, videós útmutatók, segédletek és jó gyakorlatok kidolgozása, publikálása.

EZEK LESZNEK A FELADATAID: • A mesterséges intelligencia (AI) alkalmazási lehetőségeinek feltérképezése a szoftvertesztelés különböző területein: • Teszt dokumentáció generálás • Teszt forráskód generálás • Review automatizált elvégzése • Teszt riportok automatizált generálásának vizsgálata és...

• 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

• Build and operate deployment pipelines for AI services
• Deploy and operate model serving, batch scoring, and orchestration pipelines
• Partner with data scientists and applied AI engineers for system design and production deployment

• Adat töltések fejlesztése
• Mesterséges intelligencia modellek fejlesztésében részvétel
• Alkalmazás fejlesztésekben részvétel