SDE-1 (Computer Vision Engineer)

Responsibilities

• 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.

Required Skills

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