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Harmattan AI

Computer Vision Engineer - Machine Learning

Maroc

CDI / Temps pleinSur site3–5 ansMaster / Bac+5AnglaisInformatique / IngénierieAéronautique

L’essentiel du poste

Résumé par Postule AI

Harmattan AI seeks a Computer Vision Engineer to join its Machine Learning and Computer Vision team. This role focuses on developing core technical components for robotics and aerospace projects, including research, algorithm development, deployment, and real-world validation of ML/CV models. The ideal candidate holds a Master's degree in Computer Science, possesses strong Python and mathematical skills, and has hands-on ML/CV project experience. This is a full-time, on-site position in a demanding defense technology environment requiring 100% commitment to mission-critical autonomous systems development.

Vos missions

  • Conduct research on state-of-the-art Computer Vision methodologies and participate in creation and curation of training and validation datasets
  • Build and refine training pipelines and metrics to enhance model performance and develop optimized Computer Vision algorithms
  • Implement ML/CV models into production-ready environments with seamless integration and rigorous code reviews
  • Test algorithms in real-world environments and develop monitoring tools to track model performance and enable continuous improvement
  • Collaborate with software and simulation teams to align development with system requirements and communicate findings to stakeholders

Profil recherché

  • You have a Master's degree in Computer Science or related field with strong mathematical and coding foundations
  • You have hands-on experience with Machine Learning and Computer Vision projects and passion for advancing these technologies
  • You thrive in demanding, mission-critical environments and are committed to operational excellence and rigorous execution
  • You excel at cross-functional collaboration and can communicate technical findings effectively to diverse stakeholders

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About the Role

Join Harmattan AI's Machine Learning and Computer Vision team as a Computer Vision Engineer. This role is crucial for developing core technical components across various robotics and aerospace projects for next-generation autonomous defense systems.

Main Responsibilities

  • Research & Data Preparation: Conduct research on state-of-the-art Computer Vision methodologies and participate in creation and curation of training and validation datasets. Perform statistical analyses and develop visualization tools to ensure data quality.
  • Algorithm Development & Optimization: Build and refine training pipelines and metrics to enhance model performance. Develop and optimize Computer Vision algorithms for multiple robotics and aerospace projects.
  • Deployment & Integration: Implement ML/CV models into production-ready environments. Ensure seamless integration with Harmattan AI's systems and conduct rigorous code reviews.
  • Validation & Monitoring: Test algorithms in real-world environments and develop monitoring tools. Track model performance and continuously improve deployed solutions.
  • Cross-Team Collaboration: Work closely with software and simulation teams to align development with system requirements. Communicate findings effectively to stakeholders.

Required Qualifications

  • Master's degree in Computer Science or related field from a top-tier engineering school (PhD is a plus)
  • Strong mathematical foundations and coding skills in Python (C++ is a plus)
  • Hands-on experience with Machine Learning and Computer Vision projects
  • Experience in top AI companies is highly valued
  • Strong communication and teamwork abilities with diverse teams
  • Passion for Machine Learning and Computer Vision with commitment to operational excellence

About Harmattan AI

Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following a $200M Series B funding round (valuing the company at $1.4 billion), we are expanding teams and capabilities to deliver mission-critical systems to allied forces. We operate in a demanding environment where rigor, ownership, and execution are expected.

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