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Индустрия: Информационные технологии

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Senior QA Engineer, Research

Крайний срок: 08 Апрель 2023

Условия контракта: Постоянный

Категория: Обеспечение/контроль качества

Тип вакансии: Полная ставка

Местонахождение: Ереван

Описание работы

As a Senior QA Engineer, you will play a crucial role in creating world-class Speech Enhancement/NLP algorithms. You will work closely with the research team and be responsible for developing quality standards, establishing evaluation metrics, and ensuring quality assurance for our speech enhancement and natural language processing algorithms. You will also be responsible for conducting error analysis, data collection, and classification.

Обязанности

Cooperate with the ML/PM teams to understand the use cases and evaluation methods of the developing algorithms
Establish evaluation metrics for speech enhancement and natural language processing algorithms
Develop and maintain quality standards for Speech Enhancement/NLP algorithms
Conduct quality assurance activities to ensure the algorithms meet the defined quality standards
Analyze errors and provide recommendations to improve the algorithms
Design and develop scripts for automating the processes
Collect, classify and label data for algorithm development and testing
Collaborate with the ML team to ensure alignment of the QA processes with research goals
Communicate effectively with cross-functional teams to ensure alignment on project timelines, deliverables, and expectations
Mentor junior team members.

Требования

4+ years of proven experience as a QA Engineer
Solid knowledge of quality assurance techniques, testing concepts, methodologies, and tools
Excellent analytical skills with the ability to investigate and research multiple sources
Experience in scripting languages (ex. Python, bash/csh etc.)
Experience in working with spreadsheets
Experience in writing clear, concise, and comprehensive test plans and test cases
Good communication skills
As an asset will be considered your:
- Experience in working with audio or video data
- Good mathematical skills
- Experience in data preparation and data visualizations
- Experience in testing high-performance systems.