Medior Machine Learning Engineer Consultant

☞ ReBatch | Reproducible Machine Learning in production

Ver: 130

Dia de atualização: 16-11-2025

Localização: Kontich Antwerp

Categoria: Outro

Indústria:

Tipo de empregos: Full-time

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Conteúdo do emprego

At ReBatch we use MLOps principles to develop and deploy machine and deep-learning models in production. Our focus is building scalable and reproducible Machine Learning systems for our clients.

You work closely with our clients, Data Scientists and other Machine Learning Engineers to create end-to-end solutions.

From defining the problem to monitoring and maintaining your solution in production, as a Machine Learning Engineer, you explore, validate and implement data science techniques and models that support our clients in their decision-making process.

You will take part in consultancy and data science and make sure your machine learning models predict accurate results and keep working over long periods of time in production.

What we offer

• Possibility to implement and train State of the Art Machine Learning models

• Work with large and complex datasets and train models on clusters in the cloud

• Deploy and monitor your model in the cloud

• An innovative environment with the benefits of a big organization (part of Cronos group) with the freedom and flexibility of a startup

• Competitive salary and benefits such as: company car, hospital insurance, group insurance and a laptop

You have the following qualities

• A Master or PhD in Mathematics, Statistics, Data Science, Computer Science, Engineering or any related field

• At least one or two years experience as a Machine Learning Engineer

• Strong analytical skills and problem-solving abilities

• A passion for finding patterns in big datasets

• Ability to present your findings to a non-technical audience

• Experience in building and training machine learning and deep learning models

• Experience in building models in Tensorflow, PyTorch, Keras or scikit-learn.

• Experience in Python, Pandas and Numpy

• Experience in deploying Machine Learning models in the cloud is a big plus, but not necessary.

Responsibilities

• Design and implement machine learning and deep learning models for supervised and unsupervised learning

• Testing and monitoring the performance of data-driven products

• Building production-grade solutions and integrate them into an existing IT system.

• You follow the Machine Learning field closely and keep up with the newest papers.

• Coach junior Machine Learning Engineers

Don’t worry if you don’t fit the bill perfectly, at ReBatch we invest in technical and

personal development.

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Data limite: 31-12-2025

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