Senior DevOps Engineer

Responsibilities

• Develop and implement machine learning models for processing and analyzing satellite and remote sensing data.
• Work with multispectral, infrared, and SAR imagery to extract insights and build advanced analytics solutions.
• Collaborate with Engineering and AI teams to design and enhance the analytics platform for Earth Observation applications.
• Perform data collection, cleaning, and exploratory data analysis (EDA) to ensure data quality.
• Conduct model training, validation, and optimization to achieve high accuracy and efficiency.
• Integrate models into production workflows and support deployment activities.
• Document processes, methodologies, and findings for internal and external stakeholders.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Geoinformatics, Remote Sensing, or a related field.
• Strong foundation in Machine Learning, Deep Learning, and Computer Vision techniques.
• Experience working with satellite imagery and remote sensing data (e.g., multispectral, SAR, or infrared).
• Proficiency in Python and libraries such as TensorFlow, PyTorch, NumPy, and OpenCV.
• Knowledge of data preprocessing, feature engineering, and model optimization.
• Proficiency with DevOps tools including CI/CD, Kubernetes, Terraform, and Cloud Infrastructure (AWS, Azure, or GCP).

Preferred Qualifications

• Familiarity with geospatial tools such as GDAL, QGIS, or Google Earth Engine.
• Experience with containerization and orchestration in production environments.
• Knowledge of database management including PostgreSQL, MongoDB, or Redis.

About the Company

Space42 is a UAE-based AI-powered SpaceTech company that integrates satellite communications, geospatial analytics, and artificial intelligence capabilities to enlighten the Earth from space. Following the merger of Bayanat and Yahsat, Space42 leverages advanced AI and cutting-edge satellite technology to redefine how data from space is used to inform decisions and enable action on Earth.