Computer Vision Engineer

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