AI Trainee

Role & responsibilities

1. Train Deep learning models

▪ Ensuring that best practices are followed in solving AI problems including thorough problem analysis, prior research understanding, persistent experimentation and documentation, rapid

prototyping, and extensive testing.

▪ Creating and executing on processes for thorough performance evaluation of the solution against real-world test cases.

▪ Benchmarking against competing solutions, prior research and customer's acceptance criteria wherever applicable

2.Data Management

▪ Planning the nature, volume and source of data required to effectively solve the problem.

▪ Ideating with relevant people on best ways to source and annotate this data.

▪ Following up with Labelling Teams on a continual basis to ensure minimal rework

3. Others

▪ Good articulation of your thoughts and the ability to write technical documentation and blog posts

▪ To be able to contribute back to open-source libraries and integrate with their testing mechanisms when required

Requirements:

▪ Adapt at modelling Computer Vision problems using Deep Learning frameworks

▪ Adept at using git and using IDEs

▪ Projects, certification, or open-source work showing experience in using deep learning for Computer Vision and Data Management

▪ Hands on experience in computer vision; key areas of interest include object detection, image/ video, tracking and recognition, OCR detection, activity recognition.