Senior AI Engineer/Data Scientist

Your role in the team

• You represent Cologne Intelligence in the consulting and implementation projects of our clients and demonstrate the potential of Data Science and AI to stakeholders.
• You collaboratively shape the path with clients and the team from the initial inquiry through data analysis and system design to the deployment of the production solution.
• You establish modern MLOps processes with automated pipelines, including model and prompt versioning.
• You identify relevant data references and prepare them for further analysis, with your work only concluding once tested, operationally viable models are in place.
• You actively contribute to the team, e.g., through code reviews, introducing new tools, or sharing exciting professional insights.

What we offer

• An open-minded team that makes it easy for you to get started in the world of Cologne Intelligence.
• The principle that your time is valuable to us: We work reasonable hours, meetups are considered working time, and with a sabbatical, you can take a break when needed.
• Much remote flexibility instead of the traditional consulting life on the road: work from home or in our offices in Cologne or Frankfurt with occasional assignments across Germany.
• Our belief that your thirst for knowledge should be satisfied! Therefore, we give you full flexibility with a freely allocable training budget for your personal development. And you'll also receive a Udemy Business account as a bonus!
• Modern equipment with free choice of OS and hardware.
• Great events with your colleagues: hackathons, Open Fridays, sports events, and our Social Day.
• The opportunity to actively shape the company as a member of our CI One employee cooperative.

Technologies and skills

• Python
• SQL
• NumPy
• FastAPI
• Pandas
• MLflow
• Kubernetes
• AWS
• scikit-learn
• PyTorch
• Azure

Our expectations:

Qualifications

• Python including common libraries (especially PyTorch, scikit-learn, pandas, NumPy), SQL, as well as working with relational and modern data storage solutions, are part of your daily toolkit.
• Whether classic Machine Learning or Deep Learning - you know which tool fits when.
• You not only know how to train models but also how to deploy them for users, for example with FastAPI or similar frameworks.
• GenAI is not new territory for you: You are already familiar with RAG architectures, LLM APIs (OpenAI, Azure OpenAI, etc.), or Vector Databases from practical experience.
• German flows fluently (C1) off your lips.

Experience

• Cloud or On-Premise? If you're already familiar with Azure or AWS and have some initial experience with containerization and perhaps even Kubernetes, all the better!
• A plus but not a must: You already have experience in a consulting context and are familiar with MLOps tooling, e.g., MLflow, Weights & Biases, CI/CD pipelines for ML workflows, or model monitoring.

Education

• You combine a deep theoretical understanding of complex AI and ML concepts, e.g., through a Master's or diploma degree, with several years of practical experience in Data Science, Machine Learning, or AI Engineering.

Benefits

• Fresh Fruit
• Educational Leave/Sabbatical
• Flexible Working Hours