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Accelere: Principal Qa Automation Engineer-Ml

Accelere

This is a Full-time position in Laval, QC posted February 23, 2021.

The CompanyOur client is shaping the future for how businesses harness their most important raw material data.

Their mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world.From managing enterprise risk and compliance to maximizing revenue and value, their data operating platform presents a widespread opportunity to build multilingual, AI / ML-based solutions that activate data for every function within a global enterprise.Their approach is unique, and it’s validated by their customers who tell them to keep forging ahead because no one else is aggregating, analyzing, and acting on data to uncover opportunities or solve problems quite the way they are.They are looking for fearless innovators who have an insatiable appetite for building what no one has built before.About the RoleThe Data Science department continuously delivers new ML classifiers and data analytics applications for finding valuable insights in various communications, including text and speech.

The quality of these services deployed in production is our key priority.We are looking for a skilled and motivated Principal Quality Assurance engineer to focus on testing our Data Science components and the infrastructure behind them.What You’ll DoTest the back-end of complex distributed systems, developing automated frameworks for the Data QA teamContribute to development of infrastructure for scalable A/B testing on both internal and production environmentsEnsure continuous testing and monitoring of functionality, accuracy, performance, and stability of all componentsTake an active role in creation and shaping of effective test strategies for the mission-critical services developed within the Data Science departmentWhat You’ll BringDistributed systems testing (front-end and back-end): manual / automaticKnowledge of CI tools and processes (Jenkins, TeamCity, Bitbucket pipelines, etc)Familiarity of software engineering tools (JIRA, git)Python programming experienceLinux user (including command line)DevOps infrastructure knowledge: Jenkins, AnsibleData analytics / ML expertiseMath / statistics backgroundWhat We OfferA truly global mission with a passionate community in locations all over the worldHuge impact and learning potential as our aspirations require bold innovationHighly competitive compensation with 100% bonus pay already integratedBenefits include fully covered health coverage for employee and familyGenerous time-off policy and flexible work scheduleWorld class relocation assistance