Born at Stanford University, zypl.ai aspires to become the first unicorn from Central Asia. Our vision is to emerge as a premier global ‘AI factory’ that develops and deploys AI products, generating net good for individuals and organizations. We are currently closing a bridge round from global investors from the United States, Canada, Singapore, United Arab Emirates and Kazakhstan to fuel the next chapter of our journey.
Over the past years, we have successfully expanded in Central Asia and are now focused on opening up new markets: MENA, the US, and Europe. Fintech and telecommunications are some of the sectors that we are impacting through use of machine learning. To power our expansion, we are looking for ambitious professionals to become ‘zyplies’ across our team - from sales and marketing to machine learning and analytics.
In the QA engineer role, you will be involved in the overall review and revision of manual and automated testing plans and procedures. You will work with a team of developers, engineers and ensure alignment with company policies and standard processes. Success in this role will be demonstrated by leading the team’s QA initiatives and efforts to optimize quality control processes, minimize defects, and increase customer satisfaction.
To apply, please send your CV to hr@zypl.ai and in the subject line of the letter indicate the position for which you are applying.
Upon successful passage of the pre-selection stage (CV review), you will partake in a first-round online interview in behavioral format, and if successful, a second-round work-sample test. We promise to reply to each candidate with a definitive response within five days at each stage.