Data and feature strategy
Location page: Munich
Custom ML Development for Companies Munich
Development, training and integration of machine learning models for prediction, classification and intelligent product features.
Munich is shaped by enterprise IT, industry and regulated environments with high quality requirements.
Request ML projectML from data to deployment
I build ML pipelines from data preparation and feature engineering to model training, evaluation and production deployment. Example implementations include an AI Real Voice TTS for Voicfy based on a diffusion model and a news-gathering trading system that performs stock-level fundamental analysis.
Model training, evaluation and iteration including diffusion models for audio/TTS
Deployment, monitoring and MLOps setup for production ML and analytics systems
Munich market context
Industry focus
- - Industry & engineering
- - Enterprise software
- - Mobility
Local leverage points
- - Governance & compliance
- - Robust MLOps
- - Explainable decisions
FAQ
When do you need a custom ML model?
When off-the-shelf models do not provide the required accuracy, latency or domain fit for your use case.
Can a model be integrated into existing systems?
Yes. Integration is possible via APIs, batch pipelines or direct product features, including monitoring in production.
Do you have practical ML examples from your work?
Yes. This includes an AI Real Voice TTS for Voicfy based on a diffusion model and a news-gathering trading platform with per-stock fundamental analysis.
Are AI agents suitable for enterprise workflows in Munich?
Yes, with clear guardrails, approval logic and audit trail.
How is security ensured in ML deployments?
Through secured infrastructure, role models and production monitoring.
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Start your project in Munich
Share your goal, timeline and budget for Munich. You will get a clear recommendation for the next step.