SDE-1 (Computer Vision Engineer)

• Solve real-world Computer Vision problems using cutting-edge techniques.

• Design and implement **robust, industry-grade algorithms **.

• Utilize **OpenCV **, ** Python **, and ** deep learning frameworks ** for model training.

• Work with deep learning libraries such as **Keras **, ** TensorFlow **, and ** PyTorch **.

• Develop integrations with internal and external **microservices **.

• Implement deployment practices using ** Docker **, ** Kubernetes **, and model compression techniques.

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

• Build and train state-of-the-art deep learning models for:

  • Object Detection (**Mandatory **)
  • Segmentation
  • Classification
  • Object Tracking
  • Visual Style Transfer
  • Generative Adversarial Networks (GANs)

• Collaborate with researchers and engineers to develop and deploy Computer Vision solutions.

• Plan and execute **Computer Vision research projects **, defining scope, objectives, and deliverables.

• Provide specialized technical and scientific research support for ongoing and new AI initiatives.

Requirements

Required Skills

• C++ (Mandatory)
• Python (Mandatory)
• Image Processing (Mandatory)
• Computer Vision (Mandatory)
• Deep Learning (Mandatory)
• Object Detection
• Machine Learning
• Pattern Recognition
• Artificial Intelligence (AI)
• Data Science
• Generative Adversarial Networks (GANs)
• Flask
• SQL