Qa Engineer Machine Learning (lead / Senior) Job in Netradyne

Role and Responsibilities

As a lead QA engineer, you will establish, implement and evolve the formal QA process to ensure high-quality the inhouse designed and developed driver monitoring and assistance technology. You will

• Design and develop the testing infrastructure, i.e., tools, frame works and reporting mechanisms.
• Review design documents and collaborate with developers to come up with detailed test plans.
• Test software to be deployed across IoT devices and AWS/Azure environments.
• Test data platforms as well as the machine learning models built on the platform.
• Test driver monitoring and driver assistance algorithms; and report KPIs.
• Conduct various types of testing (manual tests, unit tests, functional tests, integration tests).

Requirements

• B.E / B. Tech, M.E / M. Tech with at least 6 years of SW QA experience.
• Detail oriented, analytical, and creative thinker with passion for quality.
• Excellent programming skills Python (required) and C++, Shell Scripting (desired).
• Experience with build and continuous integration systems.
• Experience executing and contributing to automation infrastructure.
• Experience with databases (SQL/NoSQL) and AWS environment.
• Good Interpersonal communication skills.
• Flexible and can-do approach. Ability to adjust to changing priorities.