Machine Learning Engineer
Full-timeHybridIn English
About the job
Xebia is looking for an MLOps Engineer to build production-ready machine learning systems. You will work on predictive software and fraud detection in Amsterdam. The role focuses on maintaining automated ML pipelines and developing on cloud architectures.
What you will do
- Build production-ready scalable machine learning systems
- Productionize machine learning models
- Maintain and improve automated ML pipelines and experimentation infrastructure
- Work on data science and ML topics like predictive software and fraud detection
- Build data pipelines and develop on cloud architectures
What you bring
- Technical bachelor's or master's degree in Data Science, Econometrics, or Artificial Intelligence
- 2-4 years of work experience as ML Engineer or Data Scientist
- Statistical knowledge and experience with end-to-end systems
- Knowledge of open-source technologies like Spark, Kafka, Airflow, or Kubernetes
- Customer focused with a can-do mentality
- Result-oriented and eager to learn
What you get
- Good salary
- 25 vacation days
- 2 full-time weeks of hands-on bootcamp training
- Technical trainings and innovation days for a full year
- Macbook and iPhone
- Flexibility in working from home and at the office
About Xebia
Xebia is an employer based in Amsterdam.
Summary by Personeel.com. The full job description and the application form are on Xebia's website (xebiacareers.recruitee.com); Apply takes you straight there.
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