(Senior) Conversational AI Architect (m/w/d)
Core
Designing and deploying production-ready machine learning and deep learning models for critical business questions in insurance, including predictive analytics, anomaly detection, and customer analytics.
Role type
Senior Applied Scientist (Machine Learning)
Builds
Robust, scalable ML/DL pipelines and production applications for insurance products and pricing.
Domain
Insurance / Machine Learning / Deep Learning
Deliverable
production ML models
Required skills
Machine Learning, statistical modeling, Predictive Analytics, Python, neural networks, Transformer-based models, MLOps, experimental design, hypothesis validation
Preferred skills
Causal Inference, Uplift-Modelling, Recommender Systems, Personalization
Technologies
Python, neural networks, Transformer-based models, MLOps tools
Responsibilities
Conceptualize, develop, and evolve modern ML, Deep Learning, and statistical models for high-impact business questions; Analyze complex structured and unstructured data to develop modeling approaches for predictive analytics and anomaly detection; Plan, execute, and evaluate experiments to validate data-driven hypotheses; Transfer scientific insights into robust, production-ready applications; Develop and operate scalable, reproducible ML/DL pipelines with a focus on stability and scalability.
Seniority
Senior, hands-on IC