The Company
As a pioneer in environmental technology, this employer is on a mission to eliminate fog disruptions that cost billions annually across aviation, shipping, and other industries. Their innovative approach combines advanced machine learning and environmental science, contributing to a sustainable future by reducing carbon emissions and enhancing operational safety.
The Role
As a Senior Machine Learning Engineer, you’ll lead the development of a sophisticated fog prediction system. This involves designing advanced machine learning and computer vision models using diverse environmental data. Your work will directly impact industries by enhancing their ability to predict and respond to fog conditions in real-time.
About You
- Several years of hands-on experience in data science and machine learning.
- Proficiency in deep learning frameworks such as TensorFlow or PyTorch.
- Expertise in computer vision, image processing, and working with large datasets.
- Strong Python programming skills and experience deploying models to production.
- Familiarity with cloud platforms and technical leadership in project settings.
- Excellent analytical and problem-solving capabilities.
- Experience with meteorological data or time-series modeling is a plus.
LANZ has 70+ vacancies
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