What Is the role?
We are seeking a Senior Deep Learning / Computer Vision Engineer to enhance our pioneering AI-driven diagnostic tools at Artelus. You will play a critical role in developing and refining algorithms that analyze medical imaging data, focusing on applications like diabetic retinopathy screening with DRISTi and retinal analysis using our portable 5g OCT device. Your expertise will drive innovations that improve the accuracy and functionality of our products, directly impacting patient outcomes globally.
About you
As a seasoned engineer, you possess deep expertise in deep learning, computer vision, and machine learning frameworks. Your background includes substantial experience with neural networks, particularly in medical image analysis or similar fields. You are proficient in Python and familiar with AI frameworks like TensorFlow or PyTorch. Your approach to problem-solving is creative and efficient, aimed at developing solutions that are not only effective but also scalable and robust. You are enthusiastic about mentoring junior team members and leading by example in both technical and project management aspects. You value precision and are committed to advancing healthcare through technology. Additionally, experience with model containerization, API building, and deployment to Kubernetes environments is a plus, enhancing your ability to integrate advanced technologies into scalable production systems.
Your Role
In this position, you will be responsible for:
- Developing cutting-edge deep learning models that enhance our capability to diagnose and monitor various medical conditions.
- Innovating and improving computer vision algorithms that integrate with our medical imaging devices.
- Collaborating with cross-functional teams to integrate these technologies into our existing products.
- Leading projects and initiatives that push the boundaries of what our technology can achieve in medical diagnostics.
- Develop APIs and manage the deployment of models into production environments using containers and Kubernetes.
Responsibilities
- Lead the design and implementation of new features and algorithms for real-time medical image processing.
- Optimize existing AI models to improve efficiency and accuracy.
- Conduct research and apply the latest advancements in deep learning and computer vision to our product development.
- Ensure the highest standards of quality and performance in all engineering efforts.
- Develop APIs and manage the deployment of models into production environments using containers and Kubernetes.
Requirements
We are looking for someone who is not just a technical expert but also a visionary in their field. The ideal candidate will have:
- A strong theoretical and practical background in deep learning and computer vision.
- Proven experience with Python and major AI frameworks like TensorFlow or PyTorch.
- A track record of innovative problem-solving in complex, technically challenging environments.
- Experience in medical image analysis is highly preferred.
- Familiarity with model containerization, API development, and Kubernetes is highly regarded.
We offer you
- The opportunity to be at the forefront of AI in healthcare, making significant impacts on global health.
- A collaborative environment that values innovation and supports your professional growth.
- A role where your contributions are directly linked to improving patient care and diagnostic accuracy across the world.