· Understanding of machine learning techniques, data structures, algorithms, statistics.
· Proficient in designing, understanding and implementing algorithms
· Drive improvements in the existing automation framework to improve quality and maintainability.
· Develop and maintain the domain, product and process knowledge to directly influence the product quality, software engineering productivity and development process maturity
· Define, improve and automate metrics collection and reporting
· Drive test effectiveness and efficiencies throughout the team
· Drive research of industry trends and apply best practices in quality engineering practices used in evolving machine-learning techniques.
· Keep current on new technologies and make recommendations on the future direction for quality engineering as well as apply the latest techniques and industry information as appropriate.
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