Industrial Computer Vision Engineer Role
2 weeks ago
Role Overview:
We are looking for an experienced Computer Vision Engineer with a strong background in developing and deploying production-grade CV solutions.
This role involves hands-on model development, system integration, testing, and deployment in real-world industrial environments.
- Key Responsibilities:
- Model Development: Build and optimize deep learning models for object detection, segmentation, and classification.
- CV Pipeline Implementation: Develop modular and maintainable computer vision pipelines using Python.
- Hardware Support: Work with industrial cameras, Jetson edge devices, and Linux-based systems for field deployment.
- Testing & Quality Assurance: Write and execute test cases to ensure system functionality and robustness in diverse environments.
Qualifications & Experience:
- Education: Bachelor's in Computer Science, Electronics, or related engineering field. Master's degree or certifications in AI/ML is a plus.
- Experience: 3–6 years of hands-on experience in computer vision development, preferably in industrial or real-time environments.
Technical Skills:
- Proficiency in Python and OpenCV.
- Experience with deep learning libraries: PyTorch, TensorFlow, Keras.
- Familiarity with YOLO models (v5/v8), CNNs, object tracking, and segmentation.
Benefits:
- Collaborate with senior engineers and product leads on CV/AI projects.
- Pursue a challenging career opportunity in the field of computer vision engineering.
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