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Machine Learning Engineer (Remote)

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Machine Learning Engineer (Remote)

They are looking for a Machine Learning Engineer to develop and deploy scalable ML solutions for real-world environmental and industrial challenges. 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 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 ~ 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 Clear career progression opportunities toward senior and leadership roles ~ Mission-driven culture focused on building technology for a more sustainable future

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