Informatika állások, munkák adatbázisszakértő kategóriában

Contribute significantly to the further development of N26's mortgage credit risk function, aligning with N26's growth aspirations, robust risk management objectives, and stringent regulatory compliance requirements within the retail mortgage business....

• YOUR RESPONSIBILITIES:
• Design and implement high-performance software components for complex distributed systems, focusing on C++ development and advanced network protocols.
• Develop features aligned with the product roadmap and implement custom solutions for individual customer requirements.

• Build an intuitive and secure DeFi wallet that simplifies Web3 experiences, making self-custody accessible for everyone.
• Work on our next generation of Web3 products and tackle complex solution-level challenges across both backend systems and frontend experiences.

Senior Backend Developer - Web3 Infrastructure (TypeScript & Rust) Location: Lausanne, Switzerland | Work Setup: Hybrid (2 days remote/week) Type: Permanent | Start Date: Flexible | Workload:% Are you a backend engineer passionate about building performant, scalable systems and eager to explore...

• Working on business analytics topics related to the sales performance of digital products within the connected car ecosystem
• Using cloud-based analytics tools such as Databricks, Power BI, Microsoft Azure, and GitHub
• Supporting stakeholders across more than 50 markets through direct collaboration

Agentic AI (incl. RAG, Retrieval Augmented Generation) applications implementation: Design, implement and maintain Agentic AI applications to support various areas of Octapharma's core business (such as Manufacturing Science and Technologies, Research & Development, Sales)...

• Creating products that make a real difference in the lives of patients and doctors
• Developing Acoustic and Language models based on our own state-of-the-art recognition
• Processing our enormous amounts of data for training and speaker adaptation

• Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions
• Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers