Machine Learning Engineer

Unleash your talent as a Machine Learning Engineer dedicated to spatial data innovations. Engage with a scientific team to develop transformative deep learning models that contribute to space safety.

This position calls for a skilled professional with a Master’s or Doctorate, alongside at least 5 years of experience. Your focus will be on designing, validating, and deploying advanced machine learning models using Python and popular frameworks to derive insights from noisy datasets. Your contributions will help further our understanding of space dynamics and enhance model performance through rigorous evaluation processes.

Key Responsibilities:

• Implement ML/DL algorithms for dynamic space data
• Support model deployment on cloud or edge platforms
• Create modular and reusable software components
• Collaborate across a diverse scientific team
• Validate solutions with real-world and simulated datasets

Requirements:

• MSc or PhD relevant to Machine Learning or Engineering
• 5+ years’ experience in machine learning applications
• Proficient in Python and deep learning libraries
• Excellent bilingual skills in French & English
• Understanding of software development methodologies

Embrace your opportunity to innovate in an environment focused on future generations and sustainable practices.