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Job Description
- Working with the data science team to research, develop, evaluate and optimize various computer vision and deep learning models for different problems.
- Explore and analyze unstructured data like images through image processing.
- Take ownership to drive computer vision solutions and meet customer requirements.
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in future.
Job Requirements
- B.Sc degree in Computer Science, Data Science, Machine Learning or in related fields preferred but candidates with Bachelor’s degree in computer science are also welcome to apply provided they have a strong technical knowledge and experience in computer vision.
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- At least 1 years of experience in computer vision and/or deep learning for object detection and tracking along with semantic or instance segmentation either in academic or industrial domain.
- Experience with any machine/deep learning frameworks like Tensorflow, Keras and PyTorch.
- Experience in training models through GPU computing using NVIDIA CUDA or on cloud.
- Ability to transform research articles into the working solutions to solve real-world problems.
- Strong experience in using both basic and advanced image processing algorithms for feature engineering.
- Proficiency in Python and related packages like numpy, scikit-image, PIL, opencv, matplotlib, seaborn, etc.
- Excellent written and verbal communication skills for effectively communicating with the team and ability to presenting information to varied technical and non-technical audience.
- Must be able to produce solutions independently in an organized manner and also be able to work in a team when required.
- Must have good Object-Oriented Programming & logical analysis skills in Python.
