Computer Vision Engineer

Job Overview:
We are seeking a talented and motivated Computer Vision Engineer with expertise in Image processing, Object detection, Yolo, Deep Learning (Pytorch/Tensorflow/Keras), Machine Learning technologies. As part of our dynamic team, you will develop, implement, and optimize cutting-edge AI solutions to improve our products and services.

Location: Hyderabad (5 Days Work from Office)

Working Days: Sunday to Thursday

Working Hours: 10AM to 6PM

Responsibilities:

* Work on real-world computer vision problems

* Write robust industry-grade algorithms

* Leverage OpenCV, Python and deep learning frameworks to train models.

* Use Deep Learning technologies such as Keras, Tensorflow, PyTorch etc.

* Develop integrations with various in-house or external microservices.

* Must have experience in deployment practices (Kubernetes, Docker, containerization, etc.) and model compression practices

* Research latest technologies and develop proof of concepts (POCs).

* Build and train state-of-the-art deep learning models to solve Computer Vision related problems, including, but not limited to:

* Segmentation

* Object Detection (Mandatory)

* Classification

* Objects Tracking

* Visual Style Transfer

* Generative Adversarial Networks

* Work alongside other researchers and engineers to develop and deploy solutions for challenging real-world problems in the area of Computer Vision

* Develop and plan Computer Vision research projects, in the terms of scope of work including formal definition of research objectives and outcomes

* Provide specialized technical / scientific research to support the organization on different projects for existing and new technologies.

Requirements

* C++ (Mandatory)

* Python (Mandatory)

* Object Detection

* Computer Science

* Image Processing (Mandatory)

* Computer Vision (Mandatory)

* Deep Learning (Mandatory)

* Artificial Intelligence (AI)

* Pattern Recognition

* Machine Learning

* Data Science

* Generative Adversarial Networks (GANs)

* Flask

* SQL