Computer Vision/Deep Learning Engineer
Primary stack
Nice to have's
Job description
About the Position
We are looking for a Computer Vision/Deep Learning Engineer to work on building deep learning computer vision scalable applications related to face detection, recognition, and soft biometrics.
Responsibilities
- Develop scalable applications in computer vision and deep learning.
- Work on projects related to face detection, recognition, and analysis.
- Optimize deep learning models for efficiency in both training and inference phases.
- Build complete solutions that can run on the cloud or an independent server on Linux environments.
- Manage the lifecycle of machine learning models.
- Deploy deep learning models on edge devices (a big plus).
Requirements
- Very good English writing and verbal communication skills.
- Experience in data processing, cleaning, analysis, and augmentation.
- Strong coding skills in Tensorflow, Keras, and Pytorch.
- Ability to build complete solutions that run on the cloud or an independent server on Linux environments.
- Machine learning models lifecycle management.
- Experience in Face Detection, Recognition, and Analysis is a big plus.
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- 3 years industrial experience.
- Experience in deploying deep learning models on the edge is a big bonus.
We Offer
- Opportunity to work on cutting-edge computer vision and deep learning projects.
- Collaborative and innovative work environment.
- Potential for professional growth and development.
About the Company
AlgoFace is at the forefront of developing advanced computer vision and deep learning technologies. Join our team to contribute to impactful projects and innovations in the field.
Please fill out this form if you are interested in joining our amazing team.
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We are a team of passionate innovators with deep rooted knowledge in computer vision, augmented reality and applied artificial intelligence applications for the enterprise. AlgoFace is exclusively committed to developing and deploying AI-AR technology for human faces that will power the next generation of consumer experience.