Tech Stack
KerasTensorFlowLinuxPyTorch
Job Description, Responsibilities & Requirements
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 deep learning applications for face detection, recognition, and soft biometrics.
- Data processing, cleaning, analysis, and augmentation.
- Strong coding skills in Tensorflow, Keras, Pytorch to code both prototypes and production-level systems.
- Optimize deep learning models to save time, energy, and memory requirements in both training and inference phases.
- Build complete solutions that run on the cloud or an independent server on Linux environments.
- Manage the machine learning models lifecycle.
- Experience in Face Detection, Recognition, and Analysis is a big plus.
- Deploying deep learning models on the edge is a big bonus.
Requirements
- Very good English writing and verbal communication skills.
- At least 3 years of industrial experience in computer vision and deep learning applications.
- Strong coding skills in Tensorflow, Keras, Pytorch.
- Experience in optimizing deep learning models.
- Ability to build complete solutions that run on the cloud or an independent server on Linux environments.
- Machine learning models lifecycle management.
Nice to Have
- Experience in Face Detection, Recognition, and Analysis.
- Experience in deploying deep learning models on the edge.
We Offer
- Opportunity to work on cutting-edge deep learning applications.
- Collaborative and innovative work environment.
- Professional growth and development opportunities.
About the Company
Please fill out this form if you are interested in joining our amazing team.