SkinIO · 1 day ago
Machine Learning Engineer
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Artificial Intelligence (AI)Health Care
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Responsibilities
Develop, train, and deploy advanced computer vision models.
Optimize and fine-tune algorithms for real-time performance and scalability.
Collaborate with cross-functional teams to integrate vision models into products.
Conduct research and stay updated on the latest advancements in computer vision.
Analyze and improve the accuracy and efficiency of existing vision systems.
Troubleshoot and resolve issues related to machine learning models and AI tools in production environments.
Qualification
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Required
Strong experience with machine learning frameworks (TensorFlow, PyTorch).
Proficiency in computer vision techniques and libraries (OpenCV, Dlib).
Solid programming skills in Python.
Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
Strong communication skills and a collaborative mindset.
Ability to translate business requirements into technical implementations.
Self-starter able to drive projects from concept to launch.
Company
SkinIO
SkinIO develops a tech-enabled skin cancer screening and skin health monitoring tool.