Surgical Ai Scientist
Adoc Talent Management
----- ENGLISH VERSION BELOW -----
Etes-vous prêt.E à rejoindre une startup innovante dans le domaine de la technologie médicale, dédiée à l’amélioration des soins de santé ?Notre client est une entreprise logicielle qui développe des solutions basées sur de l'IA et de vision artificielle pour rendre la chirurgie minimalement invasive, plus intelligente et sécuritaire. Ils révolutionnent la salle d’opération avec leur technologie de traitement d’images en temps réel. C’est un copilote du corps humain qui guide les chirurgiens avec une précision et une confiance sans précédent.
Dans le but d'accélérer le développement de leur compagnie, ils sont à la recherche d'un Scientifique / Ingénieur IA qui jouera un rôle clé dans le développement, l'entraînement et déploiement des modèles d’apprentissage profond qui fonctionnent directement sur des flux vidéo en direct, ainsi que sur des images médicales préopératoires.Vous travaillerez en étroite collaboration avec des experts en algorithmie, des ingénieurs logiciels et des conseillers cliniques afin de transformer les vidéos chirurgicales peropératoires et les images médicales préopératoires en intelligence perceptuelle en temps réel.
Mode Hybride :
3 jours au bureauOBLIGATOIRE : la personne doit être autorisée à travailler au Canada
Missions :
Développement et affinage des modèles d’apprentissage profond pour les flux vidéo et les images médicalesUtilisation de l’apprentissage auto-supervisé, l’adaptation de domaine et l’augmentation des données synthétiques pour les ensembles de données médicales clairsemésConversion de prototypes Python en pipelines d’inférence à faible latenceApplication de pratiques MLOps pour le suivi des expériences et la gestion des versions des ensembles de donnéesDéfinition de protocoles de référence avec des spécialistes cliniquesOrganisation et anonymisation d'ensembles de données cliniques conformément aux normes HIPAA/RGPDRédaction du code modulaire et de la documentation respectant les normes CEI 62304 / ISO 13485.Profil :
Doctorat
en informatique, génie médical ou électrice ou dans une discipline technique connexe.Or Maitrise combiné à 2-5 ans d’expérience
pratique en entreprise dans le développement et la maintenance de systèmes de vision par ordinateur ou d’apprentissage profond en productionFrameworks d’apprentissage profond : Maîtrise avancée de Python et de PyTorchPrincipes fondamentaux de la vision par ordinateur : Solides bases en vision géométrique, géométrie multi-vues, flux optique et bibliothèques de traitement d’images (OpenCV)Normes d’ingénierie : Expérience avérée dans l’écriture de code propre, maintenable et soumis à un contrôle de version (Git, Docker, pipelines CI/CD, tests unitaires)Résolution de problèmes : Capacité avérée à relever des défis visuels ambigus, qu’elle soit démontrée par des publications évaluées par des pairs en tant que premier auteur ou par la livraison réussie de logiciels commerciaux.Bon niveau en Francais et en AnglaisAtouts :
Connaissance des enjeux liés à l’IA chirurgicale et de l’état de l’art dans ce domaineMaîtrise pratique du C++ moderne pour l’accélération des algorithmes et l’intégration en périphérieConnaissance des frameworks d’optimisation de l’inférence (NVIDIA TensorRT, ONNX, OpenVINO)Expérience dans l'entraînement de modèles de langage à grande échelle (LLM) et/ou de modèles multimodauxExpérience des méthodes de reconstruction 3D de scènes à partir d'images 2D, telles que SfM, 3DGS ou NeRF.Expérience des méthodes SLAM visuelles monoculairesExpérience des modèles de déformation des tissus mous (FEM, PBD, XPBD)Connaissances de base des normes relatives aux logiciels de dispositifs médicaux réglementés (CEI 62304, ISO 14971).---------------------------------------------------------------------------------------------Are you ready to join an innovative medical technology startup dedicated to improving healthcare?
Our client is a software company that develops AI and computer vision-based solutions to make surgery minimally invasive, smarter and safer. They are revolutionizing the operating room with their real-time image processing technology. It's a co-pilot of the human body, guiding surgeons with unprecedented precision and confidence.
To accelerate the growth of their company, they are looking for an AI Scientist/Engineer who will play a key role in developing, training, and deploying deep learning models that operate directly on live video streams as well as on preoperative medical images.
You will work closely with algorithm experts, software engineers, and clinical advisors to transform intraoperative surgical videos and preoperative medical images into real-time perceptual intelligence.
Hybrid mode :
3 days in the officeREQUIRED: The candidate must be authorized to work in Canada
Missions:
Development and refinement of deep learning models for video streams and medical imagesUse of self-supervised learning, domain adaptation, and synthetic data augmentation for sparse medical datasetsConversion of Python prototypes into low-latency inference pipelinesApplying MLOps practices for experiment tracking and dataset version managementDefining reference protocols with clinical specialistsOrganizing and anonymizing clinical datasets in accordance with HIPAA/GDPR standardsWriting modular code and documentation that complies with IEC 62304 / ISO 13485 standards.Profile:
Ph.D
in computer science, biomedical engineering, electrical engineering, or a related technical field.Or a master’s degree combined with 2–5 years
of practical industry experience in the development and maintenance of computer vision or deep learning systems in production.Deep learning frameworks: Advanced proficiency in Python and PyTorchFundamentals of computer vision: Solid foundation in geometric vision, multi-view geometry, optical flow, and image processing libraries (OpenCV)Engineering standards: Proven experience writing clean, maintainable code under version control (Git, Docker, CI/CD pipelines, unit tests)Problem-solving: Proven ability to tackle ambiguous visual challenges, whether demonstrated through peer-reviewed publications as first author or through the successful delivery of commercial software.Proficiency in French and EnglishAssets:
Knowledge of the challenges associated with surgical AI and the state of the art in this fieldPractical proficiency in modern C++ for algorithm acceleration and edge integrationKnowledge of inference optimization frameworks (NVIDIA TensorRT, ONNX, OpenVINO)Experience training large-scale language models (LLMs) and/or multimodal modelsExperience with methods for 3D scene reconstruction from 2D images, such as SfM, 3DGS, or NeRFExperience with monocular visual SLAM methodsExperience with soft tissue deformation models (FEM, PBD, XPBD)Basic knowledge of standards related to software for regulated medical devices (IEC 62304, ISO 14971).
#J-18808-Ljbffr
Etes-vous prêt.E à rejoindre une startup innovante dans le domaine de la technologie médicale, dédiée à l’amélioration des soins de santé ?Notre client est une entreprise logicielle qui développe des solutions basées sur de l'IA et de vision artificielle pour rendre la chirurgie minimalement invasive, plus intelligente et sécuritaire. Ils révolutionnent la salle d’opération avec leur technologie de traitement d’images en temps réel. C’est un copilote du corps humain qui guide les chirurgiens avec une précision et une confiance sans précédent.
Dans le but d'accélérer le développement de leur compagnie, ils sont à la recherche d'un Scientifique / Ingénieur IA qui jouera un rôle clé dans le développement, l'entraînement et déploiement des modèles d’apprentissage profond qui fonctionnent directement sur des flux vidéo en direct, ainsi que sur des images médicales préopératoires.Vous travaillerez en étroite collaboration avec des experts en algorithmie, des ingénieurs logiciels et des conseillers cliniques afin de transformer les vidéos chirurgicales peropératoires et les images médicales préopératoires en intelligence perceptuelle en temps réel.
Mode Hybride :
3 jours au bureauOBLIGATOIRE : la personne doit être autorisée à travailler au Canada
Missions :
Développement et affinage des modèles d’apprentissage profond pour les flux vidéo et les images médicalesUtilisation de l’apprentissage auto-supervisé, l’adaptation de domaine et l’augmentation des données synthétiques pour les ensembles de données médicales clairsemésConversion de prototypes Python en pipelines d’inférence à faible latenceApplication de pratiques MLOps pour le suivi des expériences et la gestion des versions des ensembles de donnéesDéfinition de protocoles de référence avec des spécialistes cliniquesOrganisation et anonymisation d'ensembles de données cliniques conformément aux normes HIPAA/RGPDRédaction du code modulaire et de la documentation respectant les normes CEI 62304 / ISO 13485.Profil :
Doctorat
en informatique, génie médical ou électrice ou dans une discipline technique connexe.Or Maitrise combiné à 2-5 ans d’expérience
pratique en entreprise dans le développement et la maintenance de systèmes de vision par ordinateur ou d’apprentissage profond en productionFrameworks d’apprentissage profond : Maîtrise avancée de Python et de PyTorchPrincipes fondamentaux de la vision par ordinateur : Solides bases en vision géométrique, géométrie multi-vues, flux optique et bibliothèques de traitement d’images (OpenCV)Normes d’ingénierie : Expérience avérée dans l’écriture de code propre, maintenable et soumis à un contrôle de version (Git, Docker, pipelines CI/CD, tests unitaires)Résolution de problèmes : Capacité avérée à relever des défis visuels ambigus, qu’elle soit démontrée par des publications évaluées par des pairs en tant que premier auteur ou par la livraison réussie de logiciels commerciaux.Bon niveau en Francais et en AnglaisAtouts :
Connaissance des enjeux liés à l’IA chirurgicale et de l’état de l’art dans ce domaineMaîtrise pratique du C++ moderne pour l’accélération des algorithmes et l’intégration en périphérieConnaissance des frameworks d’optimisation de l’inférence (NVIDIA TensorRT, ONNX, OpenVINO)Expérience dans l'entraînement de modèles de langage à grande échelle (LLM) et/ou de modèles multimodauxExpérience des méthodes de reconstruction 3D de scènes à partir d'images 2D, telles que SfM, 3DGS ou NeRF.Expérience des méthodes SLAM visuelles monoculairesExpérience des modèles de déformation des tissus mous (FEM, PBD, XPBD)Connaissances de base des normes relatives aux logiciels de dispositifs médicaux réglementés (CEI 62304, ISO 14971).---------------------------------------------------------------------------------------------Are you ready to join an innovative medical technology startup dedicated to improving healthcare?
Our client is a software company that develops AI and computer vision-based solutions to make surgery minimally invasive, smarter and safer. They are revolutionizing the operating room with their real-time image processing technology. It's a co-pilot of the human body, guiding surgeons with unprecedented precision and confidence.
To accelerate the growth of their company, they are looking for an AI Scientist/Engineer who will play a key role in developing, training, and deploying deep learning models that operate directly on live video streams as well as on preoperative medical images.
You will work closely with algorithm experts, software engineers, and clinical advisors to transform intraoperative surgical videos and preoperative medical images into real-time perceptual intelligence.
Hybrid mode :
3 days in the officeREQUIRED: The candidate must be authorized to work in Canada
Missions:
Development and refinement of deep learning models for video streams and medical imagesUse of self-supervised learning, domain adaptation, and synthetic data augmentation for sparse medical datasetsConversion of Python prototypes into low-latency inference pipelinesApplying MLOps practices for experiment tracking and dataset version managementDefining reference protocols with clinical specialistsOrganizing and anonymizing clinical datasets in accordance with HIPAA/GDPR standardsWriting modular code and documentation that complies with IEC 62304 / ISO 13485 standards.Profile:
Ph.D
in computer science, biomedical engineering, electrical engineering, or a related technical field.Or a master’s degree combined with 2–5 years
of practical industry experience in the development and maintenance of computer vision or deep learning systems in production.Deep learning frameworks: Advanced proficiency in Python and PyTorchFundamentals of computer vision: Solid foundation in geometric vision, multi-view geometry, optical flow, and image processing libraries (OpenCV)Engineering standards: Proven experience writing clean, maintainable code under version control (Git, Docker, CI/CD pipelines, unit tests)Problem-solving: Proven ability to tackle ambiguous visual challenges, whether demonstrated through peer-reviewed publications as first author or through the successful delivery of commercial software.Proficiency in French and EnglishAssets:
Knowledge of the challenges associated with surgical AI and the state of the art in this fieldPractical proficiency in modern C++ for algorithm acceleration and edge integrationKnowledge of inference optimization frameworks (NVIDIA TensorRT, ONNX, OpenVINO)Experience training large-scale language models (LLMs) and/or multimodal modelsExperience with methods for 3D scene reconstruction from 2D images, such as SfM, 3DGS, or NeRFExperience with monocular visual SLAM methodsExperience with soft tissue deformation models (FEM, PBD, XPBD)Basic knowledge of standards related to software for regulated medical devices (IEC 62304, ISO 14971).
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Vacancy posted 1 hour ago
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