Data Scientist

hace 3 días


Arequipa, Provincia de Arequipa, Perú G42 A tiempo completo

Overview
Space42, a UAE-based AI-powered SpaceTech company, is at the forefront of integrating satellite communications, geospatial analytics, and artificial intelligence capabilities to transform data from space into actionable insights for governments, enterprises, and communities. Established in 2024 through the successful merger of Bayanat and Yahsat, Space42's global reach enables it to address the evolving needs of its customers.
Our vision is to pioneer beyond today and create a better tomorrow by harnessing the power of advanced AI and cutting-edge satellite technology to make space more accessible and redefine how data can be used on Earth.
We aim to achieve this by connecting people to rewire potential, informing decisions to reimagine impact, and enabling action to redefine tomorrow.

Job Description

You will work with cross-functional teams to research and develop solutions that use machine learning to solve real-world problems across various domains as a Data Scientist at Space42. Your role will involve supporting both research and development functions to help design and implement a cutting-edge AI platform that can be applied to large volumes of data.

Responsibilities
  • Develop and deploy AI/ML models to solve complex problems in defense and space technology, such as satellite imagery analysis, threat detection, and autonomous systems.
  • Collaborate with cross-functional teams to integrate AI solutions into geospatial, mobility, and satellite communication systems.
  • Design and implement robust data pipelines for processing large-scale datasets from space and defense applications.
  • Conduct research on emerging AI trends and technologies to ensure the company remains at the forefront of innovation.
  • Evaluate AI models for compliance with ethical guidelines, security protocols, and regulatory standards.
  • Optimize AI algorithms for real-time performance in resource-constrained environments.
Qualifications
  • BSc in a STEM-related discipline or Ph.D. with a focus on CV (or EO) and ML, or Master's degree with 3+ years of experience in developing CV (or EO) and ML solutions.
  • Certification in AI/ML.
  • Proficiency in programming languages such as Python, R, or Java, and frameworks like TensorFlow, PyTorch, or Scikit-learn.

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