Senior AI Engineer
Datasurgery Yazilim ve Danismanlik
- Türkiye
- Sürekli
- Tam zamanlı
- 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
- 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
- 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)
- Opportunity to shape the future of AI in healthcare with measurable clinical impact
- A collaborative, research-driven team passionate about solving real-world challenges
- Ownership, autonomy, and leadership in a high-growth startup environment
- Competitive salary based on experience
- Access to academic collaborations, educational resources, and conference participation