Exciting opportunity in the insurance field for a Machine Learning Engineer!
In this newly created role, you’ll collaborate with Data Scientists and IT teams to turn AI concepts into working solutions — from coding and model training to integrating technologies across business projects.
Responsibilities:
- Develop and maintain data science tooling and infrastructure in Python and SQL
- Collaborate on version-controlled projects using Git and CI/CD best practices
- Automate and monitor model training, evaluation, and deployment
- Integrate Azure AI services into end-to-end ML workflows
- Support reproducibility and traceability across model lifecycles
- Enhance infrastructure with containerization (e.g., Docker), orchestration (e.g., Airflow), and analytics engineering tools (e.g., dbt)
Requirements:
- Proficiency in Python, SQL, Git, and CI/CD workflows
- Cloud experience (preferably Azure)
- Experience with Azure AI tools and services
Nice to have:
- Familiarity with model versioning, retraining strategies, and monitoring (e.g., drift, latency)
- Experience with Airflow, dbt, and containerized deployments
What's in it for you:
- Salary up to 4000 EUR gross (negotiable depending on experience and skills)
- Professional and personal development through additional training and conferences
- Health insurance (including dental treatment, wellness, and medication programs) and personal insurance after the probation period
- An annual bonus based on company results and during significant life moments
- Events for employees and their children
- A day off on your birthday
- Discounts from partners
Hiring process:
- Interview with a representative of Tech Recruitment
- Interview with IT director
- Task
- Final interview
