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• Taking care of the day-to-day operation, maintenance, and continuous improvement of our SAP SuccessFactors environment, with a focus on Employee Central, Learning, and Performance & Goals
• Working closely with the SAP SuccessFactors team and gradually building expertise across additional modules

Lead strategic initiatives to support clients in assessing technology risks, identifying automation opportunities, and designing or enhancing AI-enabled controls and compliance frameworks that leverage intelligent automation....

Lead strategic initiatives to support clients in assessing technology risks, identifying automation opportunities, and designing or enhancing AI-enabled controls and compliance frameworks that leverage intelligent automation....

• Conduct research in machine learning and artificial intelligence
• Write research papers and articles, and present results at leading international conferences. We publish in venues such as ICML, NeurIPS, and ICLR
• Interact with national and international teams of AI and machine learning experts

• Creating and implementing end to end solutions for customers
• Defining and implementing technical solutions aligned with client’s business problems
• Scoping complex service engagements involving multiple ServiceNow products and complex integrations with client applications/systems

• Enterprise Asset Management (EAM/PM) and Logistics processes (S2C, P2P) on SAP S/4HANA
• ePPM for project and portfolio management
• Document Management Systems (DMS) and Work Clearance Management (WCM)
• Integration strategies for hybrid SAP landscapes (cloud and on-premise)

• Own the post sales integration phase for Mollie's largest and most complex deals, from handover through testing to go live
• Run kickoffs with internal and external stakeholders, setting go live dates and keeping progress on track
• Organise and track testing, raising issues and feedback as they surface

• Design and build backend services in that handle high-throughput, low-latency messaging traffic
• Work on core infrastructure: message queues, delivery guarantees, connection handling, and storage layers
• Debug and optimize systems under real production load, not just in benchmarks

• Design and build backend services in that handle high-throughput, low-latency messaging traffic
• Work on core infrastructure: message queues, delivery guarantees, connection handling, and storage layers
• Debug and optimize systems under real production load, not just in benchmarks

• Contribute to strategic projects within the Sales & Customer Unit and take responsibility for specific project management tasks
• Support the planning and coordination of product management activities for our groundbreaking MB.OS across all vehicle car lines

• You work on tasks together with your peers and find your way around our codebase and tools.
• You're getting to know the team and the team.
• You're getting familiar with energy specific wording and processes.
• You actively use our AI-first setup.

Act as a key architectural driver for evolving legacy systems into next-generation platforms, working closely with cross-functional engineering teams and peer architects located in Zurich and Bioggio TI to ensure deep technical readiness....

Act as a key architectural driver for evolving legacy systems into next-generation platforms, working closely with cross-functional engineering teams and peer architects located in Zurich and Bioggio TI to ensure deep technical readiness....

• Your responsibility: From day one, you'll own your stories and take end-to-end responsibility for your tasks.
• Your team: You'll work in a small team of no more than five full-stack engineers. Like this, our teams are more efficient and can move fast.

• Assist engagement teams in realizing clients' strategy, process, people, and technology transformations.
• Technology Strategy & Assessment
• Business/technology/solution architecture
• Business and IT Requirements definition
• IT process design
• Transformational technology program management

• Develop, validate and enhance quantitative models for financial risk management, including market, credit, liquidity and other banking risk topics.
• Analyse large and complex datasets, perform statistical testing and translate results into clear and actionable insights for clients.

• Nemzetközi csapat tagjaként hosszú távú tesztelési feladatok különböző projektekben
• Új automatizálási keretrendszer fejlesztése low-code tesztautomatizáláshoz
• A keretrendszer karbantartása, gondozása és folyamatos továbbfejlesztése
• Innováció és új technológiák aktív bevonása és alkalmazása

• Develop an efficient and reproducible workflow for application-oriented machine learning solutions.
• Be involved in sample preparation and data acquisition in the laboratory for full data ownership

• You will support exciting large-scale projects in Switzerland and abroad
• You will accompany clients from the conceptual design of initial ideas to successful implementation in operations.
• You will be working on the assumption of sub-project manager tasks within the scope of new implementations

• Hands-On configuration of SAP S/4HANA HCM Payroll and Time Management modules.
• Work with stakeholders to define requirements and manage payroll and time management processes in the system.
• Conduct system testing, troubleshoot issues, and recommend solutions or enhancements.