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Machine learning engineer

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

PpWe’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. /p h3What You’ll Be Doing /h3 ul liDevelop and deploy machine learning models for sustainability-focused applications such as energy optimization, predictive maintenance, emissions tracking, anomaly detection, and environmental analytics /li liCreate scalable ML infrastructure and pipelines for training, evaluation, monitoring, and real-time model serving across industrial and climate-focused platforms /li liDesign data preprocessing and feature engineering workflows for complex datasets including IoT, sensor, geospatial, and time-series data /li liHelp build intelligent monitoring and optimization systems leveraging technologies such as edge devices, remote sensing, connected infrastructure, and live sensor networks /li liContribute to data-driven solutions that improve operational efficiency, reduce environmental impact, and support sustainability initiatives /li /ul h3What They’re Looking For /h3 ul li2–6+ years of experience in Machine Learning Engineering or similar AI-focused roles /li liStrong proficiency in Python /li liHands‑on experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn /li liTrack record of building, deploying, and maintaining ML systems in production /li liExperience working with environmental, industrial, energy, IoT, mobility, or geospatial datasets is considered a strong plus /li liUnderstanding of data engineering practices including ETL/ELT pipelines, streaming systems, and large-scale time-series data processing /li liExperience with cloud infrastructure such as AWS, Azure, or GCP /li liInterest in applying AI to sustainability, clean technology, smart infrastructure, or environmental intelligence challenges /li /ul h3What’s on Offer /h3 ul liHybrid working model with offices located in Aalst /li liOpportunity to contribute to cutting-edge ClimateTech solutions with tangible environmental impact /li liCollaborative environment with a strong emphasis on innovation, experimentation, and applied AI /li liCompetitive salary package up to €6,000/month depending on experience /li liCompany car or flexible mobility budget /li li13+ additional ADV leave days /li liClear career progression opportunities toward senior and leadership roles /li liMission-driven culture focused on building technology for a more sustainable future /li /ul pIf this opportunity excites you, apply today or send your CV and a short cover letter to /p /p #J-18808-Ljbffr

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