Computer Vision Algorithm Developer
2 weeks ago
The Opportunity
We’re looking for a skilled Computer Vision Engineer to join our team at Snaphunt. As a key member of our engineering team, you will be responsible for designing, developing, and deploying computer vision algorithms and deep learning models for diverse problems.
- Develop and deploy computer vision algorithms and deep learning models for diverse problems.
- Design and implement computer vision models using state-of-the-art techniques and frameworks.
- Explore and analyze unstructured data like images through image processing.
- Analyze, evaluate and optimize existing computer vision systems to improve performance and accuracy.
- Test and validate computer vision code and models, ensuring robustness and reliability.
- Research and implement new computer vision technologies to stay at the forefront of the field.
- Collaborate with cross-functional teams to develop innovative solutions that meet project requirements.
- Monitor the performance and accuracy of computer vision models, making necessary adjustments and improvements.
- Maintain and update computer vision systems to ensure their continued functionality and relevance.
- Provide technical support and guidance to team members and customers using computer vision systems.
The Requirements
To be successful in this role, you will need:
- 3 - 5 years of experience as a Computer Vision Engineer.
- Bachelor's degree in Computer Science, or a related field.
- Proven experience in developing computer vision systems, including hands-on implementation and deployment.
- Strong knowledge of computer vision algorithms, libraries and tools, such as OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, PIL, Matplotlib, Seaborn, etc.
- Familiarity with tools and libraries commonly used in computer vision projects such as CUDA, OpenCL, OpenGL.
- Expertise in various computer vision projects, including object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking and model compression/optimization.
- Knowledge of runtime AI frameworks like ONNX, TensorRT, OpenVINO.
- Experience in cloud platforms (AWS, Azure), Docker, Kubernetes and GitHub.
- Experience in training models through GPU computing or on the cloud.
- Familiarity with machine learning and deep learning concepts and frameworks.
- Excellent problem-solving skills and the ability to think analytically.
- Good written and verbal communication skills for effectively communicating with the team and ability to present information to varied technical and non-technical audiences.
- Ability to work independently and in a fast-paced environment and also be able to work in a team when required.
The Ideal Candidate
We are looking for a candidate with 3 - 5 years of experience in computer vision engineering, a strong background in computer science, and excellent problem-solving skills. If you have expertise in developing computer vision systems, a strong knowledge of computer vision algorithms, and excellent communication skills, we encourage you to apply.
About Snaphunt
Our client is a leading enterprise software development company with a global presence. We offer end-to-end digital solutions across all business verticals and are committed to innovation and excellence.
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