- English
- Full time
- South Holland, Netherlands
All vacancies
Machine Learning Engineer
As a Machine Learning Engineer, you will write efficient code to implement complex machine learning models and nurture them towards production to support the operation of the most complex machines in the world.
Education and experience
- University Bachelor’s qualification in Software Engineering, Computer Science, Data Science or equivalent and proven Machine Learning Operations (MLOps) competence.
- Strong programming skills in one or more programming languages like Python, Java or Scala
- Proven track record with 2+ years experience in developing pipelines for preprocessing large volumes of image and sensor data using scalable frameworks.
- Build and operate automated CI/CD pipelines for ML solutions (MLOps).
- Proficient in development practices: git, CI/CD, unit testing.
- Experience with productization of machine learning models using popular frameworks such as Kubernetes.
- Experience in building machine learning models using frameworks like: Scikit-learn, XGBoost, TensorFlow and Pytorch.
- Familiar with relational and non-relation database systems like: MongoDB, Impala and DeltaLake.
- Experience on productizing machine learning models on Cloud platforms like AWS of Azure.
- Experience with architectural patterns.
Skills
- Good communicator.
- Team player, who exhibits ownership and is pro-active and customer oriented.
- Quality-driven, can-do, supportive mentality.
- Eager to guide others, for instance data scientists for productization of machine learning models.
- Eager to learn, e.g. about new techniques.
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