6 jobs found in düsseldorf

About the DOUGLAS Group With its DOUGLAS, NOCIBÉ, parfumdreams, and Niche Beauty brands, the DOUGLAS Group is the leading omnichannel provider of premium beauty in Europe. The DOUGLAS Group inspires its customers to live their own brand of beauty by offering a unique range online and in approximately 1,900 stores. The DOUGLAS Group is the partner of choice for brands, offering a select range of exclusive brands and its own corporate brands. The range includes fragrances, makeup, skin care, hair care, accessories, and beauty services. Strengthening the successful omnichannel positioning and consistently enhancing the customer experience are at the heart of the corporate strategy "Let it Bloom – DOUGLAS 2026." The successful business model is underpinned by the DOUGLAS Group's omnichannel offering, leading brands, and data expertise. In the 2023/24 fiscal year, the DOUGLAS Group generated sales of EUR 4.45 billion and employed around 19,200 people across Europe....

The future looks like you With over 1,300 stores in 17 European countries and more than 25,000 employees, C&A is one of Europe's leading fashion retailers. Every day, C&A welcomes millions of visitors to its stores in Europe and to its online shop. At C&A we are driven by our values ​​and we believe that affordable and high-quality fashion is not contradictory to caring for people & the planet, we are always forward thinking and acting to develop our business and innovate the industry. This is your chance to join the C&A team as Data Governance Manager, Master Data! As a Senior Data Governance Manager, you will work cross-functionally to drive the definition and delivery of data governance strategies, policies, and data management initiatives. Your first area of ​​focus will be our Master Data, with the opportunity to co-define the Master Data strategy to enable our supply chain transformation. Our Data Governance team is responsible for...

Do you want to actively shape the future of AI? Then you've come to the right place! We are a leading digital marketer with around 130 employees and headquartered in Düsseldorf. As a joint venture between FAZ Verlag, Süddeutsche Zeitung Verlag, ZEIT Verlag, and Handelsblatt Media Group, we market quality digital media and media brands. We stand for both high reach in value media environments and high-quality target audiences. In addition to the renowned titles of our shareholders, we also exclusively market a selection of high-profile brands with exceptional content quality, including SPIEGEL, 11Freunde, Rolling Stone Magazine, and Spektrum. This provides our advertising partners with a unique portfolio. We are looking for an  AI Developer / Software Engineer (m/f/d)  to support us in building and further developing our  AI and RPA solutions  . You will be part of a newly formed, agile team with flat hierarchies, a high level of...

Statkraft has been enabling clean energy for over a century. We have 125 years of unrivaled expertise in supplying the world with what it needs most. We envision a world that runs entirely on renewable energy. Because in the fight against climate change, we don't see renewable energy as part of the solution—we believe it must be the solution. With us, you'll build a truly future-oriented career, with many great opportunities and benefits to match. But there is still a lot to do – that’s why we need you! The position can be carried out from our office in  Düsseldorf  and from home near  Erzhausen  or  Hürth . Job description Statkraft's IT Security department consists of the IT GRC, Security Architecture, and CSIRT teams. Together, they protect Statkraft from cyber threats and support the company with robust and secure IT security services. IT Governance, Risk, and...

  YOUR MISSION As a Senior Machine Learning Engineer (m/f/d) you will develop intelligent models in our team, optimize algorithms and put AI-supported solutions into practice. Your tasks in detail: Promoting the use of artificial intelligence in tax authorities at state and federal level Architecture, implementation and optimization of data storage systems, data pipelines and data preparation processes Operation, scaling and performance optimization of on-premise LLM infrastructures Development of automation solutions and work support with LLMs Training, fine-tuning and deployment of machine learning and AI models THIS IS IMPORTANT TO US At least 5 years of experience in implementing data-driven projects with a focus on data engineering, machine learning and AI Professional and confident demeanor, especially in communication with customers and stakeholders In-depth knowledge of LLMs, including...