Data science állások Németországban (it programozás, fejlesztés)

You will be closely working with our finance and controlling departments, locally and internationally, to understand their requirements and to provide a best practice approach for their business needs...

• Defining and driving product vision, roadmap, lifecycle strategy and ecosystem capabilities in alignment with business strategy
• Contributing to portfolio decisions, including make/buy/partner evaluations and ecosystem expansion

Implementation of the user interface for the GHGA data portal and other web-based services, ensuring a world-class user experience and usability...

• Lead the design, development, testing, and maintenance of the flaQship toolkit
• Integrate the flaQship toolkit via standardized APIs into the national quantum computing full stack and enable workflow-integration with established toolkits and framework (e.g. MQT or Eclipse Qrisp)

• Collaborate with the responsible assessors and certification authorities, as well as with colleagues from software development and product management;
• Identify, pursue, and access security requirements for PCI PTS HSM approvals;

Act as a Business Analyst within the Order Fulfilment (OF) workstream, managing end-to-end processes including sales orders, project creation, delivery, invoicing, and closure;...

Identify and prioritise high-leverage AI and automation opportunities – and ship them, end to end....

Collaborate with cross-silo Operations and business stakeholders to deliver firm managed strategic change initiatives impacting the MSESE group in a project management office capacity...

• Align IT strategy to divisional business and manufacturing priorities, while developing strategic five-year plans.
• Partner with divisional functional teams, define a clear technology roadmap delivering enhanced capabilities, modern platforms, and new solutions.

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...

• Design and evolve enterprise AI architectures, including LLM integration, RAG patterns, AI agents, and intelligent automation
• Define and implement AI guardrails, standards, and governance (model lifecycle, prompt standards, responsible AI)

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

• Training and inference of distributed systems
• Development of cloud-native infrastructure
• AI operationalisation (“MLOps”)
• Efficient data storage, management, and connection
• Latency or resource restrictions in AI applications
• Hardware implementations on graphics processing units

In close collaboration with Process Owners you analyze existing processes, identify AI‑ and agent‑based use cases, and design and build AI‑driven process architectures by integrating available AI platforms, technologies, agents, data, and knowledge sources....

Overseeing all Master Data procedures at Panasonic Industry Europe and implementing actions to ensure updates are reflected in the appropriate support systems, including SAP and workflow applications....

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

• Analysis and documentation of current operations with respect to IT security, identifying gaps and supporting continuous improvement
• Implementation and maintenance of a framework for risk and asset management, utilizing modern tools and standards

• Define clinical and technical requirements for online eye testing and centration
• Understand limitations and barriers and lead mitigation
• Drive product development and user validation
• Serve as interface between optometry experts, engineers and business units

• Build scalable AI-supported products, services and internal tools that improve business processes, efficiency and measurable outcomes.
• Act as a sparring partner for leadership, product owners and engineering teams to identify and prioritise high-impact AI opportunities.

You design and own end-to-end AI and data architectures - from data ingestion and feature pipelines to model deployment and monitoring - with a strong focus on production-grade edge AI inside the vehicle....