Geospatial Machine Learning Engineer Focus: Remote Sensing & Geospatial Problems
Location: Remote
About Us: This company are at the cutting edge of technology, blending the power of machine learning with geospatial data to solve real-world problems. The mission is to innovate and provide solutions that drive impactful change across industries such as environmental monitoring, urban planning, and disaster management.
Role Overview: We are seeking a Geospatial Machine Learning Engineer with a specialized focus on remote sensing and geospatial challenges. In this role, you will harness the power of machine learning to interpret vast amounts of remote-sensing data and deliver actionable insights. Develop and implement machine learning models tailored to remote sensing data.
Integrate geospatial data with machine learning frameworks to solve complex problems.
Stay abreast of the latest advancements in machine learning and remote sensing technologies.
Bachelor's or Master's degree in Geospatial Science, Computer Science, Data Science, or a related field.
Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
Proficiency in GIS software (e.g., ArcGIS, QGIS) and spatial data analysis.
Experience with remote sensing data processing and analysis (e.g., Competitive salary and comprehensive benefits package.
Work on pioneering projects with a global impact.
Professional growth and development opportunities.
Flexible work arrangements and a supportive team culture
Are you ready to leverage your machine learning expertise to tackle some of the world's most pressing geospatial challenges?