🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
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! .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.