Tasks

We are seeking an ambitious individual to enrich our Machine Learning/AI team in the realm of AdTech Solutions.

• Development and optimization of ML/AI solutions in the booming AdTech market, such as revenue optimization of advertising campaigns, automated analysis of advertisements, and automated content creation.
• Proactive coordination of project details with stakeholders in various departments.
• Designing and developing tailored solutions by combining traditional ML methods with the latest LLM approaches.
• Covering all phases of ML projects: acquiring domain knowledge, building the data foundation, selecting appropriate methods, training and evaluating models, and integrating them into existing processes.

Qualifications

• Strong ability to act independently and a willingness and capacity to acquire new knowledge purposefully.
• Proactive and confident communication skills in German and English (fluent in one, B2+ level in the other).
• Degree in a relevant field (e.g., Data Science, Computer Science, Statistics, Psychology with a quantitative focus).
• At least 4 years of professional experience in the ML/AI field.
• Ideally, proven success in ML projects with measurable economic value.
• Excellent knowledge and practical experience with Python and common machine learning libraries such as Scikit-Learn, XGBoost, Keras, and/or Pytorch, as well as LLM-specific tooling (Langchain, vector databases, etc.).
• In-depth knowledge of LLM usage, including observability/monitoring aspects.
• Knowledge in SQL.
• Experience in ML Operations and the Machine Learning Lifecycle (e.g., model and data version control, evaluation of machine learning systems, model deployment, etc.).
• Practical experience with Linux systems.
• Good coding practices and ideally foundational knowledge in software development.

Benefits

• Hybrid working model with home office option.
• Flexible working hours through trust-based working hours.
• Subsidised canteen and various free drinks at some locations.
• Modern office space with excellent transport links.
• Various employee discounts for activities and products.
• Employee events such as summer and winter parties and workshops.
• Numerous training and development opportunities.
• Various health programmes, such as sports and health courses.