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Senior Machine Learning Engineer - HUK-COBURG Versicherungsgruppe
ML Engineer
Senior Machine Learning Engineer leading the design, development, and deployment of advanced AI models for insurance analytics, leveraging Python, deep‑learning frameworks, and cloud services to drive pricing, claims automation, and process optimization.
About the role
Key Responsibilities
- Design, implement, and productionize machine learning models for pricing, fraud detection, and claims automation.
- Collaborate with data engineers and domain experts to define data pipelines, feature engineering strategies, and model evaluation metrics.
- Deploy and monitor models on cloud platforms (AWS), ensuring scalability, reliability, and compliance with regulatory standards.
- Lead code reviews, mentor junior team members, and promote best practices in MLOps, version control, and reproducible research.
- Stay current with state‑of‑the‑art AI techniques and evaluate their applicability to insurance use cases.
Requirements
- 5+ years of professional experience in machine learning or AI engineering, preferably in the insurance or financial sector.
- Strong proficiency in Python and deep‑learning libraries such as TensorFlow, PyTorch, or Scikit‑learn.
- Hands‑on experience with cloud services (AWS), containerization (Docker), and CI/CD pipelines for model deployment.
- Solid understanding of statistical modeling, data preprocessing, and feature engineering for large, structured datasets.
- Excellent problem‑solving skills, ability to work in agile teams, and strong communication in English.
Skills
pythontensorflowpytorchawssql