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.

Experience: 4-12 years

Location: Hyderabad (5 Days Work from Office)

Working Days: Sunday to Thursday

Working Hours: 10AM to 6PM

Note: Please apply if you have minimum 4 years of experience as this is a mid-senior level position

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