- Develop machine learning, deep learning algorithms and graph networks using multi-modality data sources such as imagery, text and tabular data for maritime, agriculture, infrastructure and sustainability applications
- Work with software team to integrate developed algorithms into geospatial system products
- Work with product, business development and sales teams to develop comprehensive
- Provide pre and post sales technical support
Requirements
- Degree / Master / PhD in Electrical Engineering, Computer Science, Mathematics or Statistics or equivalent
- At least 5-10 years of relevant work experience
- Proficient in machine learning and deep learning techniques
- Proficient in Python programming and experience with libraries such as PyTorch, openCV, scikit-learn, XGBoost and Prophet
- Experience with Git, containerisation and software development workflow
- Knowledge of cloud platforms and development would be an advantage
- Knowledge of working with geospatial data would be an advantage
- Knowledge of Earth Observation Satellite systems and their imaging products would be an advantage
- Applicants should be motivated, proactive, able to work independently and results oriented
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