QA Engineer - Machine Learning
Recruiter
Frontiers Media
Listed on
16th June 2022
Location
Europe
Salary/Rate
Competitive + Benefits
Salary Notes
Competitive + Benefits
Type
Permanent
Start Date
ASAP
This job has now expired please search on the home page to find live IT Jobs.
Who we are Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. To date, our 200,000 freely available research articles have received more than 1 billion views and downloads and 2 million citations. Our journals span science, health, humanities and social sciences, engineering, and sustainability. And we continue to expand into new academic disciplines so more researchers can publish open access. Be part of the publishing revolution and help us transform the way research is published, evaluated, and communicated to the world. Job Role We are looking for an enthusiastic QA Engineer to join our Machine Learning Engineering team and help them to create and deliver solutions to improve the quality of our Machine Learning models and services. The ideal candidate for this role should have a solid QA engineer background, strong experience testing APIs, and substantial coding skills for designing and implementing automated tests. By working at Frontiers, you will play a key role in shaping the future of science and academic publishing. You will join a thriving company where your contribution will have an immediate effect on the way science is evolving. Key Responsibilities Work with our Machine Learning engineers to ensure that the services' implementation addresses functional and non-functional requirements, and meets high-quality standards. Closely collaborate with our Machine Learning Team Lead in designing solutions and defining acceptance criteria to guarantee scalable integration with our core products. Design and automate test cases to validate our Machine Learning services using a variety of data sets. Test APIs and backend services. Report and document technical issues, and follow them up through the complete bug life cycle. Ability to work with large data sets presented in different formats and to troubleshoot possible data-related issues. Define metrics to track the quality of our data, models, and APIs. Communicate with stakeholders to ensure streamlined service integration and release. Conduct post-release testing. Required Qualifications Solid experience as a QA Engineer in the Agile environment. Bachelor's degree in Computer Science or equivalent combination of technical education and work experience. Strong experience with API testing. Coding skills (Python preferred). Experience with writing automation tests. Experience in integrating tests in CI/CD pipelines. Interest in Machine Learning techniques, data structures, algorithms, statistics. Demonstrated experience in test planning, test design, test strategy, and test execution. Strong analytical skills to identify the root cause and cause/effect relations. Methodical, curious, a self-starter, and passionate about quality. Outstanding interpersonal and communication skills. Good English skills, we are an international company and English is our working language. Preferred Qualifications Python coding skills. Experience working in an Agile environment. Experience with SQL/NoSQL databases. Experience with Azure DevOps pipelines. Experience with Docker. Experience with supervised and unsupervised Machine Learning algorithms. Benefits With more than 50 nationalities represented in our global team, you will work regularly with teammates in other countries, and with our community of researchers, editors, and authors from around the globe. Our mission to create solutions for healthy lives also extends to the working environment we provide for our employees.This includes: 100% remote working Employees now have the flexibility to choose where they want to work, with remote working available on a part- or full-time basis (not applicable to some Business Support jobs due to nature of role). Learning and development All employees have access to LinkedIn Learning (and Pluralsight for our technology team), an annual personal learning budget, and dedicated L&D time. Wellbeing We offer free online yoga classes, an employee assistance plan, access to the Headspace app, and four wellbeing days on top of your annual leave allowance. Volunteering opportunities Employees can dedicate three days each year to volunteer for a personal cause or through our volunteering partner platform, Alaya.
