Was dich erwartet: Du bist maßgeblich daran beteiligt, innovative AI-Lösungen unter Einsatz von Large Language Models (LLMs) und Voice to Action zu konzipieren und umzusetzen Du spielst eine Schlüsselrolle bei der strategischen Weichenstellung für den Aufbau und der Weiterentwicklung unserer Produkte, um eine effiziente Nutzung von LLMs in journalistischen Anwendungen zu gewährleisten Du entwickelst innovative MVPs für unsere AI Services gemeinsam in einem crossfunktionalen Team bestehend aus AI-, Frontend- und Backend-Engineers, sowie Agentic UX Designern Du hältst dich stets auf dem neuesten Stand der Technologieentwicklung im Bereich der künstlichen Intelligenz und Cloud-Infrastrukturen.
Your Mission As part of our AI platform team, you will: Work closely with AI Solution Architects, AI Engineers, and cross-functional technical teams to design, develop, and implement AI solutions across our products and services.Build and maintain a scalable, secure, and efficient infrastructure for our AI platform while continuously expanding your expertise in cloud services.Translate business requirements into functional AI solutions — guided by experienced colleagues in an agile development environment.Develop and maintain integrations between our AI platform (e.g., Conversational AI) and internal systems to support diverse business needs.Create demos and proof-of-concepts that showcase AI capabilities and promote AI adoption within the company.Act as a technical expert for our agentic AI platform, supporting other teams in leveraging AI and building their own solutions.
You collaborate closely with backend engineers, translate Figma designs into robust component-based implementations, and ensure consistency, performance, and maintainability across the ecosystem. This is a hands-on senior role requiring 5+ years of professional frontend engineering experience in modern web application environments.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g.
As part of our team, you will take on the following responsibilities: You drive the adoption of AI across the entire organization and ensure that it delivers measurable business value.You empower business units through role‑based trainings, awareness sessions, demos, and open office hours focused on the safe and effective use of AI.You identify high‑value AI use cases by working closely with teams and gaining a deep understanding of their processes, tasks, and challenges.You design and define suitable AI solutions for the identified use cases.You collaborate closely with the AI team, other AI consultants, and technical DKV teams to implement these solutions.You use low‑code and no‑code platforms to efficiently deliver AI‑powered applications to the business units.