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Senior AI Engineer at Datasurgery Yazılım ve Danışmanlık. About TRAICK AI. TRAICK AI is an innovative health-tech startup building AI-powered clinical decision support systems, with a strong focus on ultrasound, MRI-based early diagnostics. Our solutions are designed to empower clinicians with real-time, interpretable, and regulatory-compliant medical imaging analysis. As we expand our product line and scale globally, we’re seeking a Senior AI Engineer to lead our AI infrastructure and development efforts.. This is a strategic technical leadership role for an experienced professional passionate about building high-impact healthcare technologies. You will drive core AI development, optimize multi-modal learning pipelines, and play a central role in shaping our AI platform.. Key Responsibilities. . Architect, develop, and deploy production-grade AI models for medical image analysis (ultrasound, MRI). . Lead research and development in segmentation, classification, multi-task learning applications. . Fine-tune and integrate large language models (LLMs) for clinical NLP tasks and decision support. . Drive model explainability (XAI) and regulatory-aligned transparency in clinical workflows. . Design robust CI/CD/CT/CM pipelines for scalable AI/ML infrastructure. . Lead MLOps initiatives including experiment tracking, automated training pipelines, and model versioning. . Collaborate with cross-functional teams (radiologists, software engineers, regulatory experts) to co-develop clinically impactful solutions. . Stay at the forefront of deep learning research and translate SOTA methods into practical, performant systems. . Qualifications. . BSc in Computer Science, AI, Electrical Engineering, or a related field (MSc/PhD strongly preferred). . 5+ years of experience in deep learning, computer vision, or medical AI. . Strong proficiency in PyTorch and/or TensorFlow. . Proven experience with architectures such as CNNs, Transformers, U-Net, EfficientNet, ViTs. . Deep understanding of model optimization: quantization, pruning, ONNX, TensorRT. . Experience with large-scale data pipelines, class imbalance handling, and metric-driven training. . Proficient in Git, experiment tracking tools (e.g., Comet, MLflow), CI/CD automation. . Ability to lead technically while executing hands-on development when needed. . Excellent communication and collaborative skills in cross-disciplinary teams. . Preferred Qualifications. . Prior experience in medical imaging (ultrasound, MRI, CT) and real-world clinical deployment. . Knowledge of privacy-preserving learning (e.g., federated learning) and edge inference. . Familiarity with CE marking / FDA regulations for medical AI systems. . Strong cloud infrastructure skills (AWS, SageMaker, Docker, Kubernetes, S3). . Company Location: Turkey.