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Senior AI Researcher

About the role

• Develop video-based medical image analysis models
• Develop and optimize medical image processing models
• Improve model performance using metrics such as F1, AUC, sensitivity, and specificity
• Develop data pipelines, preprocessing, and augmentation processes
• Manage model training, evaluation, and versioning processes
• Establish and improve MLOps processes
• Deploy and monitor AI models in production environments
• Work with clinical teams to improve the interpretability of model outputs

• Bachelor's degree in Computer Engineering, Artificial Intelligence, Biomedical Engineering, or a related field (Master's/PhD preferred)
• 7+ years of proven experience in AI / Machine Learning / Computer Vision
• Experience with video-based medical image analysis
• Experience with Python, PyTorch, or TensorFlow
• Proficiency in model development, training, and evaluation processes
• Experience in data processing and model optimization
• Proficiency with Git, experiment tracking tools (Comet, MLflow, etc.), and CI/CD processes
• Experience with ML pipelines, dataset management, and performance metrics
• Experience with large-scale data pipelines, class imbalance management, and metric-driven model training
• Ability to iterate quickly and solve problems
• Effective communication within a team
• Fluency in Turkish and English
• Bonus: Experience with medical imaging software
• Bonus: Experience with segmentation, detection, or classification projects
• Bonus: Experience with MLOps, CI/CD, Docker, or Kubernetes
• Bonus: Knowledge of DICOM, PACS, HL7/FHIR, or EHR
• Bonus: Knowledge of healthcare regulations, such as the European Union Medical Device Regulation