5-8 years of experience in machine learning-based data product research and development in addition to relevant educational background in the field of Computer Science, Engineering, Machine Learning, etc.
Experience with tools/frameworks from theoretical and practical aspects of computer science and ML/DL. This includes probability, statistics, learning theory, etc.
Prior experience working with statistical modeling techniques and deep learning fundamentals, such as CNN, RNN, Transformers, GANs etc including sequence networks eg LSTMs
Proficiency in any programming language, preferably Python, with hands-on experience in using ML frameworks such as Tensorflow/Pytorch, Pytorch Lightning, MxNet, etc
Ability to design, develop, and optimize for machine learning/ deep learning models
Knowledge of the application of ML for earth observation data is good to have
Appetite for research and implementing innovative solutions for complex problems