Engineering supervisor állás, munka

• You will continuously develop and improve our booking app for Android and iOS.
• Working with Kotlin Multiplatform (KMP) and other modern frameworks will be part of your daily routine.
• You will work closely with other teams to find the best solutions.

• Design, build and maintain backend services with Kotlin and Java
• Work on our platform, optimizing for performance, scalability and stability
• Embrace the challenge and opportunity to design and implement systems that effectively bridge between the digital and physical worlds

• The program will start July 1st, 2026
• During your 14-month trainee program you work on exciting projects at home and abroad, tailored to your profile and career goals

Work closely directly with the CDO directly to design and run transformational programs from tech solutions to communication to training and everything else that is needed to get things done...

• You implement numerical simulation methods and their applications for large scale power systems.
• You develop high performance algorithms for dynamic simulation taking also advantage of hardware-based acceleration techniques such as FPGA or GPU.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• Recording customer requirements and formalising them into system requirements
• Refining device requirements
• Monitoring project status using configuration management tools such as Jira and Confluence
• Preparing for and participating in workshops with stakeholders

• 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

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....

• Collaborate with agile multidisciplinary teams on diverse consulting projects.
• Participate in brainstorming sessions and contribute innovative ideas.
• Architect, design and implement features for customers, products and internal tools.

• Develop, test, deploy, and monitor scalable filter pipelines and transformation processes that extract relevant metrics and features from billions of events.
• Data management in a Data Lake.
• Collaborate with data scientists and software developers to optimize and scale high-performance ML models.

Engage in requirements discovery and strategic consulting sessions with clients to understand their needs and provide tailored solutions, including guidance on topics like data migration, 3rd party integrations, business scaling, hardware management, and front-end development....