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

Requirements

Required Skills

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