Senior DL Engineer

Responsibilities

1. Design, develop, and optimize deep learning models for medical image analysis tasks, including segmentation, classification, and detection.
2. Collaborate with cross-functional teams to integrate deep learning models into robotic systems.
3. Implement, fine-tune, and deploy state-of-the-art algorithms and architectures based on recent research in the field.
4. Develop and maintain efficient codebases and pipelines for model training, evaluation, and deployment.
5. Stay up-to- with the latest trends, technologies, and research in AI and medical imaging, with a focus on rapidly prototyping solutions.
6. Contribute to scientific publications and presentations based on the models and techniques developed.
7. Work in a collaborative environment, providing insights and technical leadership on best practices for deep learning and medical image analysis.

Qualifications

1. 4+ years of hands-on experience in deep learning model development, with a focus on medical image analysis (e.g., CT, MRI, ultrasound).
2. Strong expertise in implementing research papers quickly, including the ability to translate academic algorithms into efficient, production-ready code.
3. Proficiency in PyTorch and related frameworks (e.g., TensorFlow, Keras).
4. Solid understanding of deep learning architectures (e.g., CNNs, GNNs, Transformers) and relevant techniques (e.g., transfer learning, fine-tuning, data mentation).
5. Experience with dataset management, model training, and hyperparameter tuning.
6. Strong analytical and problem-solving skills with an ability to work with large-scale datasets.
7. Familiarity with version control.
8. Strong communication skills and the ability to collaborate with multidisciplinary teams.

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