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QA Engineer

icon building Company : Mlops
icon briefcase Job Type : Full Time

Job Description - QA Engineer

    QA Engineer - MLOPS

    Company Overview:

    We are a rapidly growing technology company that is revolutionizing the way machine learning pipelines are built and deployed. Our platform combines the power of automation and collaboration to make the process of creating and serving machine learning models more efficient and effective. Join us in our mission to bring cutting-edge technology to industries around the world.

    Job Description:

    As a QA Engineer for MLOPS, you will play a critical role in ensuring the high quality and reliability of our platform. You will work closely with our development and data science teams to test new features and identify areas for improvement. Your attention to detail and dedication to delivering top-notch products will help us maintain our position as a leader in the industry.

    Key Responsibilities:

  • Design and implement test plans, test cases, and test scripts for new and existing features of our platform
  • Collaborate with cross-functional teams to identify and troubleshoot issues and bugs
  • Execute manual and automated testing of web-based software and machine learning models
  • Document and report test results, including identifying and prioritizing defects
  • Continually improve and streamline the QA process, utilizing the latest testing methodologies and tools
  • Stay up-to-date on emerging technologies and tools in the fields of machine learning and DevOps

    Qualifications:

  • Bachelor's degree in Computer Science or a related field
  • 2+ years of experience in software QA, preferably in a SaaS environment
  • Strong knowledge of testing methodologies and best practices
  • Experience with automated testing tools, preferably Selenium or Cypress
  • Proven ability to write and execute SQL queries
  • Familiarity with DevOps and CI/CD pipelines
  • Experience working with machine learning models is a plus
  • Excellent communication and collaboration skills

    Why Work with Us:

    At our company, we understand the importance of having a positive and inclusive work culture. We are committed to creating a supportive and collaborative environment where every team member can thrive and grow. We also offer competitive salary and benefits packages, as well as opportunities for personal and professional development.

    Join our dynamic and innovative team and be a part of shaping the future of machine learning operations. Apply now and let's revolutionize the world of MLOPS together!

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