Software Architect-Computer Vision
2 weeks ago
The ideal candidate will have 10-15 years of experience in the field, with a strong proficiency in various types of models including image classification, object detection, and segmentation.
The role involves leading the development of advanced computer vision systems, managing dataset generation, improving image processing techniques, and overseeing model training and pattern recognition projects.
The candidate must be proficient in Python and related libraries such as OpenCV, TensorFlow, and PyTorch, with a solid understanding of linear algebra, calculus, and statistics.
Key Responsibilities:
Leadership and Strategy :
Lead the computer vision team, providing mentorship and guidance to junior members.
Develop and implement strategies for advanced computer vision projects.
Collaborate with cross-functional teams to integrate computer vision solutions into products.
Model Development :
Design, develop, and optimize models for image classification, object detection, and segmentation.
Innovate and implement state-of-the-art algorithms and techniques for pattern recognition and face detection.
Dataset Generation and Image Processing :
Oversee the creation and management of large-scale datasets for training and evaluation.
Enhance image processing pipelines, focusing on techniques like noise reduction and data compression.
Model Training and Evaluation :
Lead the end-to-end process of model training, validation, and deployment.
Utilize Python and relevant libraries (OpenCV, TensorFlow, PyTorch) for model development and training.
Ensure models meet accuracy and performance standards through rigorous testing and iteration.
Technical Expertise :
Apply strong mathematical foundations in linear algebra, calculus, and statistics to solve complex computer vision problems.
Stay updated with the latest research and advancements in the field of computer vision and machine learning.
Project Management :
Manage multiple projects simultaneously, ensuring timely delivery and adherence to project requirements.
Communicate progress, challenges, and results to stakeholders effectively.
Qualifications:
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
10-15 years of experience in computer vision and machine learning.
Proficient in Python and relevant libraries such as OpenCV, TensorFlow, and PyTorch.
Strong background in image classification, object detection, segmentation, and pattern recognition.
Experience with image processing techniques like noise reduction and data compression.
Solid understanding of linear algebra, calculus, and statistics.
Proven track record of leading successful computer vision projects.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Preferred
Qualifications:
Publications or patents in the field of computer vision.
Experience with edge computing and real-time image processing.
Familiarity with other programming languages and frameworks related to AI and machine learning.
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