ML Engineer (all genders) - Data & Analytics
Your Tasks
* Collaborate closely with data teams; turn analytical prototypes into ML products across the Group
* Design, build, and operate ML solutions on Databricks using Python, MLflow and feature engineering
* Implement end-to-end MLOps incl. exp. tracking, versioning, testing, CI/CD, model deployment, monitoring, and retraining
* Integrate models with data pipelines, databases/backends, APIs, and front ends; batch and real-time inference use cases
* Contribute reusable templates, standards, and documentation to enable roll-out across the Group
* Ensure quality, security, performance, and cost-efficiency of productive ML solutions
Qualifications
* Completed degree in Computer Science, Software Engineering, Data Science, or equivalent practical experience
* 3+ years of hands‑on experience in machine learning / data science with strong software engineering skills in Python
* Practical experience with Databricks and MLflow, taking ML models from experimentation to production
* Familiar with Spark/SQL, feature engineering, model evaluation, model serving, monitoring, and CI/CD
* Strong interest in building reusable, production‑grade AI & Analytics solutions for business use cases across the Group
* Excellent communication & teamwork, independent and solution‑oriented working style, very good English; German is a plus
Benefits may vary between VIG companies
The monthly minimum salary according to the collective agreement is EUR 3,668.49 gross for full‑time employment. Salary will be discussed in a personal interview.
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