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- Tasks: Join our team as a QA Engineer to ensure top-notch quality in AI product development.
- Company: Be part of an innovative company pushing the boundaries of AI technology.
- Benefits: Enjoy flexible work options and a collaborative environment with cutting-edge tools.
- Why this job: Make an impact by enhancing AI applications while working with passionate professionals.
- Qualifications: Bring your extensive QA experience and knowledge of AI technologies like NLP and machine learning.
- Other info: Opportunity to work with CI/CD processes and AWS environments.
The predicted salary is between 28800 - 48000 £ per year.
My client is looking for a QA Engineer to join their team and contribute towards the development of an innovative new product, leveraging AI technologies, including Natural Language Processing and machine learning.
As the QA Engineer, you will play a key role in ensuring the quality, compliance, and performance of the application and underlying infrastructure (including data pipelines and ML infrastructure) by developing and executing comprehensive test tooling/infrastructure, plans, and test cases.
Main Accountabilities:
- Collaborate with the product owner and development team to understand and feed into product requirements, features, and compliance needs in respect to quality.
- Develop, in collaboration with the product team and other stakeholders (e.g. compliance, equality, risk), detailed, comprehensive, and well-structured test strategy, plans, and test cases ensuring compliance and quality.
- Implement required QA tooling and infrastructure. While you will be expected to lead on this, this will be a collaboration with the infrastructure engineer and developers.
- Perform various types of testing such as functional, regression, exploratory, performance, usability, and compliance testing.
- Identify areas for test automation and work with engineers to build and maintain a set of automated tests which balance quality with supporting continuous delivery.
- Identify, document, and track bugs and defects throughout the development process.
- Collaborate with the product owner and cross-functional teams to ensure consistent product quality, compliance, and alignment with user needs and requirements.
- Contribute to the continuous improvement of CI/CD, compliance, and quality processes.
- Stay up to date with new developments in software testing, compliance standards, and relevant tools and technologies.
Key Skills & Experiences
- Extensive QA Experience
- Testing AI technology experience – including Natural Language Processing and machine learning.
- Experience of Chat Bots, especially using voice
- Testing in an AWS Environment
- CI/CD processes and tools.
If you are available and interested please apply today!
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QA Engineer - AI Technology Exp employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land QA Engineer - AI Technology Exp
✨Tip Number 1
Make sure to highlight your experience with AI technologies, especially Natural Language Processing and machine learning, during the interview. Be prepared to discuss specific projects where you've applied these skills.
✨Tip Number 2
Familiarize yourself with the latest trends in QA testing, particularly in relation to CI/CD processes and tools. Showing that you are up-to-date can set you apart from other candidates.
✨Tip Number 3
Prepare examples of how you've collaborated with cross-functional teams in the past. This role emphasizes teamwork, so demonstrating your ability to work well with others will be crucial.
✨Tip Number 4
If you have experience testing in an AWS environment, make sure to mention it. This is a key requirement for the position, and showcasing your familiarity with AWS can give you an edge.
We think you need these skills to ace QA Engineer - AI Technology Exp
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the QA Engineer position. Familiarize yourself with AI technologies, especially Natural Language Processing and machine learning, as these are crucial for the role.
Tailor Your CV: Highlight your extensive QA experience and any specific projects related to AI technology in your CV. Make sure to include relevant skills such as testing in AWS environments and familiarity with CI/CD processes.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the company's needs. Mention your experience with test automation and collaboration with cross-functional teams, as these are key aspects of the job.
Showcase Relevant Projects: If you have worked on projects involving chatbots or voice testing, be sure to mention these in your application. Providing specific examples of your work can help demonstrate your expertise and fit for the position.
How to prepare for a job interview at Lorien
✨Showcase Your QA Experience
Be prepared to discuss your extensive QA experience, especially in testing AI technologies. Highlight specific projects where you have worked with Natural Language Processing or machine learning, and explain your role in ensuring quality and compliance.
✨Demonstrate Collaboration Skills
Since the role involves collaboration with product owners and development teams, be ready to share examples of how you've successfully worked in cross-functional teams. Discuss how you contributed to developing test strategies and plans in previous roles.
✨Familiarize Yourself with CI/CD Processes
Understand the CI/CD processes and tools relevant to the position. Be prepared to discuss how you've implemented or improved these processes in past projects, and how they relate to maintaining quality in software development.
✨Stay Updated on Testing Trends
Show your enthusiasm for continuous improvement by discussing recent developments in software testing and compliance standards. Mention any relevant tools or technologies you’ve learned about recently and how they could benefit the team.
