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Computer Vision Engineer
hakimo
posted 18d ago
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Job Description
- Build and Maintain CV Models: Build and maintain state-of-the-art computer vision models and algorithms.
- Research to Production: Translate cutting-edge research ideas into production-ready systems.
- Error Analysis and Solutions: Analyze, categorize, and solve for various error cases in existing CV systems.
- Performance Improvement: Identify avenues for improving performance of deployed models and run experiments to validate possible solutions.
- ML Infrastructure: Build out ML infrastructure to support the above responsibilities where needed.
- Engineering Assistance: Assist the engineering team with general software engineering tasks as required.
- 3+ years of experience with a deep learning framework (Pytorch, TensorFlow, etc.).
- Strong track record of building CV models or reproducing computer vision research work.
- Solid understanding of object detection, tracking, and other core computer vision tasks.
- Must be motivated, enthusiastic to learn, and work well in teams.
- Solid fundamentals in software engineering best practices are preferred.
- Familiarity with Docker, Kubernetes, ELK, testing frameworks (unittest, pytest), and
Employment Type: Full Time, Permanent
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