The job responsibility involves building production class deep learning models applied to computer vision problems and who is an effective team player with the ability to work in high-performance teams in a fast-paced environment.
Job skills -
Development of end-to-end machine learning pipeline including data extraction, automated labeling, training of deep learning model, and deployment.
Proficient in image processing techniques using OpenCV.
Familiarity in at least one of Tensor Flow and Keras, PyTorch, Caffe, and MXNet.
Proficient in Python language.
Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
Proficiency with server-side languages such as Python or Java.
Familiarity with any SQL & No-SQL database technologies such as MySQL/PostgreSQL/Oracle/MongoDB.
Familiarity with any relevant and globally supported frameworks for both front-end and back-end, if necessary. E.g: Django/Flask/Spring MVC/Angular/React.
Strong foundation in software engineering; proficient in design patterns, code optimization, and debugging.
Experience in Linux environment and DevOps practices/tools.
Working knowledge of statistics relevant to Deep Learning