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2 days ago
The ideal candidate will be responsible for designing and implementing an earth observation system that ingests, processes, and visualizes satellite data. This role involves building a scalable architecture on Amazon Web Services (AWS) to store and retrieve large datasets.
Responsibilities:
- Built automated pipelines to ingest raw satellite data from various sources
- Developed frameworks for machine learning model training and integration using Python libraries like XGBoost
- Designed a low-latency REST API to serve real-time predictions from AI models using AWS Lambda and API Gateway
- Implemented core features of the interactive dashboard using React and Mapbox GL JS to visualize complex geospatial data
Qualifications:
- A minimum of 3 years of professional software development experience
- Deep expertise in either Python-based backend development or React-based frontend development
- Essential experience designing, building, and deploying services on Amazon Web Services (AWS)
- A thorough understanding of REST principles and proven experience in designing and building APIs from scratch
- Proficiency in containerising applications using Docker
Benefits:
- Opportunity to work with cutting-edge technology in the field of earth observation and remote sensing
- Collaborative and dynamic work environment
We are looking for a highly skilled and motivated individual who can contribute to the success of our team. If you have a passion for developing innovative solutions and working with large datasets, we encourage you to apply for this exciting opportunity.
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