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