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# Computer Vision Engineer

- **Company:** Harmattan AI
- **Location:** France
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Computer Vision, C++ (Programming Language), Code Review, Data Cleansing, Data Visualization, Python (Programming Language), Machine Learning, Software Requirements Analysis, Information Technology, Software Coding
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/computer-vision-engineer-harmattan-ai-8146871

## About the Role

* Educational Background: A degree from a top-tier engineering school or university (Master's degree in Computer Science or related field, PhD is a plus)
 * Technical Expertise: Strong mathematical foundations, coding skills (Python, C++ is a plus) and hands-on ML/CV project experience. Experience in top AI companies is a huge plus.
 * Passion for ML: Enthusiasm for Machine Learning and Computer Vision.
 * Strong Communication & Teamwork: Ability to collaborate effectively with diverse teams
 * Commitment: 100% dedication to Harmattan AI's mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.

## Description

We are looking for a Computer Vision Engineer to join our Machine Learning and Computer Vision team. This role is crucial for developing core technical components across various robotics/aerospace projects., * Research & Data Preparation:

 + Conduct research on state-of-the-art Computer Vision methodologies. Participate in the 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/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.


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