As the driving force behind a dynamic, cross-functional team of computer vision engineers, scientists, and deployment specialists, you will be responsible for directing cutting-edge research, design, development, and deployment efforts.
Manage and lead a cross-functional team of computer vision scientist and engineer, providing guidance, mentorship, and performance evaluations.
Lead, mentor, formulate and work with the team to design, prototype, evaluate, optimize, implement and deploy CV/DL algorithms as an integral part of AI-powered medical technologies.
Foster a culture of innovation, continuous learning, and collaboration within the team.
Document and present progress in algorithm design, development, and evaluation (requirements/design/architecture/bugs/tests)
Lead code reviews for projects/systems as an independent reviewer applying design principles, coding standards and best practices.
A rare opportunity for a technical leader with a passion for innovation to guide a talented and energetic team as they tackle complex computer vision and deep learning challenges in the pursuit of revolutionizing AI applications in healthcare.
What you need:
Required
Bachelor’s degree in software engineering/ computer science or related discipline with 10+ years of work experience
A minimum of 10 years of experience in computer vision and deep learning / machine learning development, with at least 4 years in a managerial or leadership role.
Strong knowledge of deep learning, computer vision, machine learning, and working with edge-based / embedded computer vision Application
Experience with Python or C++ is ideal.
Experience with CV/ML frameworks such as PyTorch, OpenCV,, PCL, TensorFlow, scikit-learn etc. for model training and deployment.
Experience in designing and training and deploying production-grade deep learning architectures for computer vision application with a broad understanding of latest CV / DL methods and literature.
Strong problem-solving, analytical, and critical thinking skills
Preferred
Experience with medical devices and product development in a regulated industry, e.g., software developed under ISO 13485.
Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
Proven track record of managing and delivering large-scale computer vision projects on time and within budget.
