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  "job_title": "Deep Learning and Computer Vision Engineer",
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  "employer_name": "Tyndall Fx",
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  "job_description": "Position Details: Deep Learning and Computer Vision Engineer\n\nLocation: Paris, Ile de France\n\nAbout Us:\n\nTyndall FX is at the forefront of real-time AI-driven 3D reconstruction and analysis. Our flagship project, Terramind FX, integrates cutting-edge deep learning and computer vision techniques to reconstruct 3D environments dynamically and enhance them with actionable insights. We are seeking a passionate Deep Learning & Computer Vision Engineer to help push the boundaries of real-time edge AI and intelligent 3D representation.\n\nRole Overview:\n\nStep into the role of Deep Learning & Computer Vision Engineer at Tyndall FX, where you’ll be at the heart of our product development. Utilize your expertise in embedded AI and computer vision to pioneer innovative solutions and ensure successful product launches.\n\nYou’ll enhance the Terramind FX pipeline by integrating intelligent insights into the 3D representations, enabling real-time decision-making and interactive AI-driven environments.\n\nYou’ll work alongside a team of experts in Machine Learning, Computer Vision, 3D Graphics, and mobile Software and be part of a team that thrives on turning disruptive ideas into industry-changing products.\n\nWe’re searching for a tech enthusiast with a proven track record in software development. If you have a keen eye for detail and a drive to tackle new challenges, we want to hear from you.\n\nKey Responsibilities:\n• Research, design, and implement deep learning models for depth estimation, object detection, scene understanding, and semantic segmentation.\n• Develop and deploy efficient edge AI models that can run on constrained hardware environments.\n• Integrate AI-driven actionable insights into 3D representations to enhance decision-making processes.\n• Optimize neural networks for real-time processing, balancing accuracy and computational efficiency.\n• Collaborate with software engineers and researchers to refine and deploy AI models within the Terramind FX system.\n• Ensure top-notch product quality through rigorous code standards and CI/CD methodologies.\n• Stay updated with the latest advancements in deep learning, computer vision, and edge AI.\n\nRequired Qualifications:\n• Master’s or PhD in Computer Science, Electrical Engineering, AI, or a related field.\n• Strong background in deep learning, computer vision, and real-time AI processing.\n• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or ONNX.\n• Expertise in edge AI optimization, including model quantization, pruning, and hardware acceleration.\n• Solid programming skills in Python and C++, with experience in OpenCV.\n• Experience deploying AI models on embedded devices or GPU-accelerated platforms.\n• Strong problem-solving skills and ability to work in an interdisciplinary team.\n\nPreferred Qualifications (nice to have):\n• Experience with 3D reconstruction techniques, including Visual SLAM, depth estimation, and multi-view geometry.\n• Experience with robotics, AR/VR, or autonomous systems.\n• Knowledge of sensor fusion techniques.\n• Familiarity with real-time streaming architectures.\n• Understanding of reinforcement learning or self-supervised learning techniques.\n\nWhat We Offer:\n• Opportunity to work on cutting-edge AI and computer vision technologies.\n• A collaborative and innovative work environment.\n• Competitive salary and benefits package.\n• Career growth opportunities in AI-driven 3D reconstruction and edge computing.\n• Access to state-of-the-art computing resources and research collaborations.\n\nAdditional Information:\n• Permanent, full-time position based in our Paris office.\n• Occasional travel for client meetings and project collaborations.\n• Competitive compensation and benefits, with ample opportunities for professional growth and career advancement.\n\nBenefits and Perks:\n• RTT (Reduction of Working Time)\n• Bonu",
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  "employer_website": "https://www.tyndallfx.com",
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  "job_posted_at_timestamp": 1773532800,
  "job_posted_at_datetime_utc": "2026-03-15T00:00:00.000Z"
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