Offered Salary 21000
Career Level Executive
Experience 8 Years +
Industry Technology $ IT
Qualifications Degree Bachelor
The Computer Vision Engineer will be responsible for the development and deployment of various Computer
Vision projects that the company is currently starting.
The projects will require thorough knowledge in the field of data science (computer vision in particular),
strong programming and software development working background (primarily C, C++, and Python), as well
as knowledge of the full cycle of software engineering from development to deployment.
The position will be remotely filled without a need for relocation for the initial phase, with the possibility of
reassessment of relocation terms should the need arise at a later stage. The same shall be agreed to by both
parties should it occur.
Due to the confidentiality and sensitivity of the projects being developed—as well as the confidential nature
of the clients—, a clear demonstration of the candidate’s methods of upholding confidentiality in their work is
Responsibilities for Computer Programmer
The successful candidate shall have the following skills and experience at a minimum:
a. A BSc degree in Computer Science / Computer Engineering. Candidates with a BSc in Electrical /
Electronics Engineering or Data Science must be able to demonstrate proficiency in software
development as well as fluency in C, C++, and Python.
b. High proficiency and deep understanding of the following programming languages: C, C++, and Python.
c. High proficiency in the lifecycle of data: collection, cleaning, annotation, and conversion to various
formats to train specific computer vision models.
d. Thorough understanding and proficiency in using common machine learning and data science
frameworks / libraries including but not limited to Pandas, PyTorch, NumPy, Scikit-Learn, etc.
e. The following minimum NVIDIA certifications are required:
a. Getting Started with Deep Learning
b. Getting Started with AI on Jetson Nano
c. AI Workflows for Intelligent Video Analytics with DeepStream
d. Modeling Time-Series Data with Recurrent Neural Networks in Keras
e. Getting Started with DeepStream for Video Analytics on Jetson Nano
f. High proficiency in using TensorFlow and TensorRT platform.
g. High proficiency in using Keras libraries.
h. Deep understanding and working experience with training, optimization, and deployment of various
computer vision models and neural networks.
i. High proficiency and working experience with training and deployment of object detection and image
segmentation frameworks and models.
j. High proficiency in the creation and deployment of DeepStream application in the cloud (AWS, Azure,
etc.) as well as edge and server deployments.
k. High familiarity with the Jetson family of products.
l. High familiarity with NVIDIA’s discreet GPUs.
m. High proficiency in using TOA/TLT.
n. Good understanding of the Linux OS and Linux deployments.
Qualification of Computer Programmer
Following are additional skills that would improve the profile of the applicants:
a. Proficiency in CUDA.
b. Ability to work with the DarkNet framework.
c. An MSc. in Computer Engineering, Computer Science, or Data Science.
d. Familiarity with VMS integration (e.g., Milestone, Genetec).