Senior ML/AI Engineer (f/m/d) - Data Science

We help people and companies secure their premium spot on the internet. Connected by this shared purpose, our international team works passionately on making domain trading as easy and secure as possible. What started as a "search engine for domain offers" in 1999, is now Sedo - the world's largest platform for buying, selling and monetizing web addresses. That is why we are always looking for people with the motivation to rethink and challenge the status-quo. At our beautiful office in the heart of Cologne, you will find like minded people to collectively grow and advance your career. Combined with our tolerant mindset and our joy to celebrate our diversity, we create an inspiring environment to say: Bye, bye, boredom.

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.

We welcome diversity and encourage applications from all individuals, regardless of their background, identity, or personal characteristics, as outlined by law.