Job Description

• We are looking to hire a new Computer Vision Engineer in our team. You’d help create AI-first products — contributing to the company IP, and technology stack deployed in Nvidia Jetson Ecosystem. You’d work on cutting-edge deep learning and computer vision problems


• Candidates should have Experience (academic or industry) with Computer Vision and Deep Learning in at least two- Neural networks – CNNs, RNNs, auto-encoders, etc., and transfer learning – Object Detection and Tracking and Numerical Optimisation.

Job Responsibilities

• Enhance existing Computer vision systems to achieve high performance.


• Prototype new algorithms rapidly, iterating to achieve high levels of performance.


• Package these prototypes as robust models written in production-level code to be integrated into the product.

Job Requirements

• Strong understanding of linear algebra, optimization, probability, statistics.


• Experience in the data science methodology from exploratory data analysis, feature engineering, model selection, deployment of the model at scale, and model evaluation.


• Background in machine learning with experience in large-scale training and convolutional neural networks.


• Deep understanding of evaluation metrics for different computer vision tasks.


• Knowledge of common architectures for various computer vision tasks like object detection, recognition, and semantic segmentation.


• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning frameworks like Tensorflow /Keras /Pytorch

Required:

• Experience with Nvidia GPU and/or cloud deployment experience


• Experience working on DeepStream

Interview Process

1 Round of interview.

python django pytorch

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