Proven experience of at least 5 years in developing and implementing machine learning models and algorithms, with a focus on data analysis, feature engineering, and model evaluation. ● Proficiency in programming languages such as Python, R, or Java, along with experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. ● Strong understanding of machine learning techniques including supervised/unsupervised learning, deep learning, reinforcement learning, etc. ● Experience with remote sensing data analysis, geospatial analysis, or related fields is a plus. ● Excellent problem-solving skills and ability to work effectively in a fast-paced, collaborative environment. ● Strong communication skills and ability to articulate complex technical concepts to non-technical stakeholders