Machine Learning Engineer

Digital Power
's-Hertogenbosch, Netherlands
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, Dutch
Experience level
Senior

Job location

's-Hertogenbosch, Netherlands

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Continuous Integration
Data Warehousing
Python
Machine Learning
TensorFlow
Google Cloud Platform
PyTorch
Scikit Learn
Information Technology
Machine Learning Operations
Databricks

Job description

Work on challenging machine learning and data science projects with leading organisations. We are looking for a Machine Learning Engineer who is fluent in the Dutch language, both verbally and in writing. As a Machine Learning Engineer, you'll play a key role in developing and operationalising advanced AI solutions. You'll collaborate with a team of driven data experts and have the freedom to apply your expertise where it truly makes an impact. You'll also have continuous opportunities to learn, grow, and develop yourself within an innovative working environment. - Design, build, and optimise machine learning models for a variety of business cases. - Work with tools such as Databricks and cloud platforms like AWS, Azure, or GCP to host and manage machine learning solutions. - Collaborate with data scientists, data engineers, and stakeholders to deliver the best possible solutions. - Monitor model performance and continuously improve based on new data and insights. Currently, we are

Requirements

only hiring candidates who are authorized to work in The Netherlands at the time of their application. We are in the process of becoming a sponsor for non-EU citizens, however, we cannot make any promises at the moment. - Strong analytical and problem-solving skills, with the ability to communicate clearly with both technical and non-technical stakeholders. - A genuine passion for data and a drive to make machine learning practical and valuable. - A background in Computer Science, Artificial Intelligence, Data Science, or a related field. - Between 2 and 6 years of professional experience as a Data Engineer or in a similar role. - Knowledge of MLOps and experience deploying and maintaining ML models efficiently in production, including CI/CD, tracking, and monitoring. - Proficiency in Python and familiarity with frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Experience with cloud platforms (AWS, Azure, GCP) and data warehousing (Databricks, ...

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