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Job Description:

Summary

We are seeking a highly skilled QA Engineer with good knowledge of ML to ensure the quality and accuracy of the machine learning models developed by our company.

As an Data Scence & ML QA Engineer, you will work closely with data scientists, software engineers, DevOps engineers, and other stakeholders to design and execute test plans and test cases to validate the machine learning models. You will also be responsible for identifying and reporting defects and working with the development team to resolve them.

Job Responsibilities:

• Design and execute test plans and test cases to validate the machine learning models.
• Collaborate with data scientists, software engineers, and other stakeholders to identify and prioritize test scenarios and use cases.
• Develop and maintain test automation frameworks for machine learning models.
• Document and report test results and defects
• Work with the development team to resolve defects and ensure the quality and accuracy of the machine learning models.
• Ensure the security and privacy of the machine learning models and data.
• Stay up to date with the latest advancements in DevOps and ML Ops and recommend new tools and techniques to improve our operations.

Requirements / Skills :

• Bachelors / master’s degree in information or computer science required – B.Tech, MCA, MS Computers.
• 3+ years of experience in ML QA or related field
• Programming skills in Python, Java, or other programming languages
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with cloud-based infrastructure such as AWS, and Microsoft Azure
• Experience with testing tools and frameworks such as Selenium, JMeter, or Robot Framework
• Strong analytical and problem-solving skills
• All-round communication skills and ability to work collaboratively.