Computer Vision Engineer
2 months ago
Required skills:
1. Research to AI model development including data procuring and analysis, prototyping, testing, and deployment.
2. Working closely with leaders to apply AI/ML to create features, collaborate with the backend team, and collaborate with infrastructure engineers to deploy, and model pipelines.
3. Writing production-level, re-usable, easy-to-interpret code in Python(required), or other languages, while engaging in collaborative code reviews.
4. Establish scalable, efficient, large-scale data analysis, model development, model validation, and model implementation.
Must haves:
1. Total Experience: 3-4 Years in Computer Vision, Deep Learning.
2. Minimum qualification: B.E/B.Tech. in Computer Science/Electronics or equivalent stream.
3. Strong programming skills in Python(mandatory), and C++ (add-on) and experience of Ski-Learn/NumPy libraries.
4. Solid understanding of linear algebra, algorithms, machine learning, optimization, and numerical methods.
5. Good experience in Image processing/Computer vision.
6. End-to-end CNN Model Customization and training experience in classification, detection, segmentation, etc.
7. Strong experience with Deep Learning frameworks – PyTorch, TensorFlow, Keras.
Good to have:
Experience with AWS/Azure or any other cloud-based ML platform to deploy model in the Cloud.
Research papers
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