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Machine learning engineer

Aalst
Vivid Resourcing
Publiée le 27 mai
Description de l'offre

The Role

We’re partnering with an innovative ClimateTech company building intelligent AI-driven solutions that improve environmental sustainability, operational efficiency, and resource optimization. They are looking for a Machine Learning Engineer to develop and deploy scalable ML solutions for real-world environmental and industrial challenges.



Apply (by clicking the relevant button) after checking through all the related job information below.

What You’ll Be Doing

* Develop and deploy machine learning models for sustainability-focused applications such as energy optimization, predictive maintenance, emissions tracking, anomaly detection, and environmental analytics
* Create scalable ML infrastructure and pipelines for training, evaluation, monitoring, and real-time model serving across industrial and climate-focused platforms
* Design data preprocessing and feature engineering workflows for complex datasets including IoT, sensor, geospatial, and time-series data
* Help build intelligent monitoring and optimization systems leveraging technologies such as edge devices, remote sensing, connected infrastructure, and live sensor networks
* Contribute to data-driven solutions that improve operational efficiency, reduce environmental impact, and support sustainability initiatives


What They’re Looking For

* 2–6+ years of experience in Machine Learning Engineering or similar AI-focused roles
* Strong proficiency in Python
* Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
* Track record of building, deploying, and maintaining ML systems in production
* Experience working with environmental, industrial, energy, IoT, mobility, or geospatial datasets is considered a strong plus
* Understanding of data engineering practices including ETL/ELT pipelines, streaming systems, and large-scale time-series data processing
* Experience with cloud infrastructure such as AWS, Azure, or GCP
* Interest in applying AI to sustainability, clean technology, smart infrastructure, or environmental intelligence challenges


What’s on Offer

* Hybrid xlxgzvr working model with offices located in Aalst
* Opportunity to contribute to cutting-edge ClimateTech solutions with tangible environmental impact
* Collaborative environment with a strong emphasis on innovation, experimentation, and applied AI
* Competitive salary package up to €6,000/month depending on experience
* Company car or flexible mobility budget
* 13+ additional ADV leave days
* Clear career progression opportunities toward senior and leadership roles
* Mission-driven culture focused on building technology for a more sustainable future


If this opportunity excites you, apply today or send your CV and a short cover letter to

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