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SDE-1 (Computer Vision Engineer)
Responsibilities
Required Skills
- 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 Learning
- Pattern Recognition
- Artificial Intelligence (AI)
- Data Science
- Generative Adversarial Networks (GANs)
- Flask
- SQL
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