c:I[5516,["591","static/chunks/591-af5be930573c970b.js","296","static/chunks/app/station-details/%5BstationID%5D/page-05d8540f5449cd68.js"],"default"] d:T514,

Description: PS II candidates will work on building a platform where customers

user creator tools to drive annotations across various media types like Lidar,

Radar, Video images etc. You would build products that would be used by AI/ML

engineers @FAANG and, also people new to technology. This is a highly

distributed system with currently 10 and a growing number of microservices. The

focus will be on building a fault-tolerant system that can handle massive scale.

Skill sets:

? Proficient in one object-oriented programming language like Java, C#,

etc., or experience with golang.

? Ability to write SQL queries

? Basic understanding of web development

Expected learning:

A role that provides all-round development to candidates

? Learn about the needs of Enterprise organizations building

autonomous vehicles

? Delivering features within timelines with high quality

? Building stable, scalable and fault-tolerant distributed systems

? Use and learn latest technologies golang, kubernetes, react

Specific courses required for project execution:

Data structures and algorithms

Object-oriented design (optional but preferred)

Web development (optional but preferred)

e:T651,

Brief Description of project:

PS II candidates will work on building a platform where customers use creator tools to drive annotations across various media types like LiDAR, Radar, Video images etc. You would build products that would be used by AI/ML engineers @FAANG and also people new to technology. This is a highly distributed system with currently 10 and growing number of microservices. The focus will be on building a fault-tolerant system that can handle massive scale.

Skill set required to execute the project (Technica

Telus International - Software Engineering

Station Overview

Project 1

Software Engineering for AI-Assisted Data-labeling platforms

Project 2

Software Engineering for AI-Assisted platforms