Your tasks:

• Build and optimize existing ML models for cyber-threat detection and risk scoring (Python, TensorFlow/PyTorch)
• Develop LLM apps for reports; also create real-time data pipelines with e.g. n8n workflows
• Design and maintain APIs linking cybersecurity tools and databases
• Experiment with cutting-edge AI stacks (LangChain, vector DBs, RAG)
• Automate risk-questionnaire processing via NLP/document analysis
• 70 % technical development, 30 % business application
• Join virtual risk dialogues to translate client needs into tech specs and assist senior engineers during client engagements
• Present technical solutions to non-technical stakeholders and help create training materials

Your profile:

• Recent Bachelor’s/Master’s in IT, CS, Data Science, AI/ML or similar
• Solid coding base, Python (pandas, scikit-learn, numpy), SQL, Git
• First hands-on ML experience via projects, internships or personal work
• Familiar with LLM APIs (OpenAI, Anthropic) and prompt engineering
• Bonus: n8n, Docker, AWS/Azure, cybersecurity coursework
• Mind-set: fast learner, analytical problem-solver, tech-curious
• Good written and spoken English skills; German skills are nice-to-have
• Willingness to travel: minimal at start, more as you grow

• Attractive conditions: Because you’ve earned it - we offer 30 days’ annual leave and fair wages.
• Flexible working hours: Flexitime arrangements and flexible working time models allow for a perfect work-life balance – however it suits you.
• Mobile working: Whether from home or on the road - our mobile working model (up to 60 % mobil) offers you more freedom and independence.
• Further training: We satisfy your thirst for knowledge – for example with further training, subject-specific seminars or work and study programmes.

Be You!

For us, the focus is on people. We live a corporate culture of opennes and appreciation - we guarantee equal opportunities for all employees and candidates. This creates an environment in which personal potential can be developed in the best possible way.