AI Cyber Engineer
Role details
Job location
Tech stack
Job description
Scikit-learn Mobile App AWS Industrial Spirit Python Solid Docker TensorFlow Analyse NumPy GIT Entwicklungsumgebungen CS Engineering Flexibilität, * 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,
- 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., * APIs, Amazon Web Services, Automatisierung, Business Software, Data Science, Datenbanken, Docker, Echtzeitdaten, Experimentieren, Git, Inhaltsanalyse, Künstliche Intelligenz, Large Language Models, Microsoft Azure, Numpy, Pandas, Prompt Engineering, Python, Pytorch, SQL, Scikit-learn, Technische Entwicklung, Tensorflow, Workflows, Working Model 2D
Persönliche Fähigkeiten
- Analytisches Denken, Eigenmotivation, Neugier, Problemanalyse
Schulabschluss
- Bachelor
Requirements
- 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
Benefits & conditions
Attractive conditions Attractive conditions Because you've earned it - we offer 30 days' annual leave and fair wages. Flexible working hours Flexible working hours Flexitime arrangements and flexible working time models allow for a perfect work-life balance - however it suits you. Mobile working 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 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.