Data operations manager állás, munka

• You’re part of a Software Engineering Scrum team.
• You take the lead in our team for the further improvement of our ML models, as well as ensuring the models run reliably in production.

• Derive, structure, and prioritize user stories to guide development based on stakeholder requirements
• Coordinate interdisciplinary and cross-functional teams to implement new features effectively
• Guide and instruct the development team, managing technical dependencies to ensure smooth progress

You build, validate, and analyse finite element models (FEA/FEM) for structural, crash, noise, vibration, roughness, and aerodynamic simulations....

Lead large-scale creative and marketing operations transformations by harnessing Adobe's Generative AI solutions to drive organizational evolution....

• Develop and maintain high-performance web applications using React and TypeScript
• Implement and optimize backend services and APIs running in a Kubernetes powered Azure environment
• Work within a monorepo architecture to ensure modularity and efficient code management

As our Scrum Master (m/w/d) you will guide and coach the Scrum Team in adopting Agile practices to deliver exceptional products and services to our customers...

• You own the strategy and roadmap for domain specific foundation models; align with engineering and production leaders.
• You build and adapt large language, reasoning, and multimodal models for automation at scale.

Serve as a trusted advisor for HANA Cloud migrations, guiding customers in transitioning from legacy systems to cloud-native data platforms while connecting solutions to business outcomes....

• You continuously improve and scale our backend services
• You orchestrate and maintain our AWS infrastructure
• You maintain and develop our in-house CMS
• You work with the feeds of Opta (main data provider)
• You ship updates through our CI/CD pipelines using GitHub Actions

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• An opportunity to build the foundation for next-generation products
• The possibility to learn and implement cutting edge 3D computer vision methods
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following an internship or working student position

Design and Build Test Automation Frameworks: Create robust, scalable, and maintainable test automation frameworks that serve multiple product teams and accelerate delivery cycles....

• Define and prioritize product features and roadmap aligned with business goals
• Own the product backlog and ensure clarity and feasibility as well as maintaining of user stories , epics and features
• Collaborate with SCRUM/Nexus teams to drive agile development cycles

Market Activation of Flexibility: Connect market opportunities (e.g., spot, balancing, DSO-flex, imbalance) with platform capabilities and customer offerings. Ensure alignment between our solutions and market value drivers....

• Design business processes E2E and derive requirements, which you translate into a technical solution design
• Develop and design innovative technical concepts and solutions that effectively address business requirements.

Drive programme visibility and structure You'll manage programme plans, milestone tracking and cross-stream coordination - ensuring everyone from pilots to platform stays aligned....

• An unlimited employment contract
• Individual guidance and support by a personal, self-selected mentor, a buddy, and HR

• Support our customers on their transformation to SAP S/4HANA / Intelligent Enterprise
• Delivery of remote and onsite services together with our experts for global customers with focus on system optimization, conceptual planning as well as empowering the customers with newest best practice knowledge.

End-to-End Ownership – act as the bridge between development, clinical, testing, and UX, taking responsibility for features from concept to release, ensuring no gaps remain unnoticed, with support from an experienced team....

• Partner with stakeholders to identify, design and evaluate AI solutions by translating complex business challenges into practical ML and GenAI use cases
• Lead data-driven projects, from requirements analysis to implementation, with a strong focus on business impact