Our organization is currently seeking a highly skilled Space Applications Developer to join our team.
The successful candidate will be responsible for developing a Python library for various space applications.
Key Responsibilities:
- Developing Robust and Efficient Code: The candidate will be responsible for implementing foundational CNN/GNN convolution layers with robustness and clarity.
This includes writing clean, well-documented code that adheres to industry standards.
- Data Preprocessing and Model Training Pipelines: The Space Applications Developer will design and implement data preprocessing pipelines and model training protocols to ensure accurate and efficient results.
- Collaboration with Senior Researchers: The candidate will closely collaborate with senior researchers to integrate and benchmark layers, ensuring seamless integration and optimal performance.
Requirements:
- Bachelor's Degree or Higher: A degree in Computer Science or a relevant field is required.
- Experience with CNN/GNN Convolution Layers: The candidate must have experience working with CNN/GNN convolution layers and possess a deep understanding of their implementation and application.
Benefits:
The successful candidate will work remotely and coordinate with our team, initially based in the UAE, subject to extension.
This role offers an excellent opportunity for professional growth and development in a dynamic and innovative environment.