Machine learning állások XIX. kerületben (product owner, -manager)

• Conduct market and technology research to identify new product opportunities, innovations, and enhancements.
• Translate research insights into product features, specifications, and technical requirements.
• Define and maintain the product vision and roadmap for strategically important products.

Részvétel a Docutent termék fejlesztésében ...

• Üzleti igények szakmai és funkcionális felmérése, elemzése és egyeztetése az érintett üzleti területekkel, fejlesztőkkel és ellenőrzést ellátó szervezeti egységekkel.
• Üzleti folyamatok elemzése, digitalizálásának és optimalizálásának támogatása.

Develop AI solutions and applications, context systems and AI Agents Maintain and enhance multiple AI systems and products Research frontier models Collaborate with product and architecture teams to deliver high-performing services Develop and maintain modular and reusable systems Explore new...

Building a world-class AI platform designed to be deployed across diverse sectors and functions Developing transformative technology for the firm Working within a product team of engineers, designers, and product managers to develop impactful AI solutions Combining software and data engineering...

Munkakörhöz tartozó feladatok ellátása....

Munkakörhöz tartozó feladatok ellátása....

Define and evolve the long-term vision, strategy, and success metrics for shared services and integration capabilities within the Risk & Audit platform. Align platform investments with company strategy, architectural direction, and product portfolio needs. Own a roadmap focused on reusable...

Design, develop, and maintain scalable fullstack applications using .NET (preferably .NET 9) and Angular. Integrate and manage messaging systems such as Kafka and RabbitMQ. Deploy and manage applications using Docker and Kubernetes in AWS environments. Work with various databases including...

Champion the design and delivery of secure, high performance microservices on AWS, owning services end-to-end from code to deployment and monitoring. Set technical direction across multiple teams by spotting system pain points, simplifying architectures, and driving meaningful improvements. Shape...

Design, prototype, and refine LLM based features over large document sets Orchestrate multi step, agentic workflows and tool calling (including MCP servers and other integrations) so LLMs can take meaningful actions, not just generate text Define evaluation frameworks, experiments, and metrics to...