QA Engineer AI/ML (3+)
Professional Experience:
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3+ years of experience in QA engineering, with at least 1+ years focused on testing AI/ML systems.
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Proven expertise in testing machine learning models, data pipelines, and cloud-based AI solutions.
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Hands-on experience with test automation tools and frameworks such as Selenium, PyTest, JUnit, or similar.
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Familiarity with CI/CD pipelines and tools like Jenkins, GitHub Actions, or Azure DevOps.
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Solid understanding of software testing methodologies, including functional, regression, performance, and stress testing.
Technical Skills:
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Proficiency in Python or Java, with experience in writing test scripts for AI/ML applications.
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Knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
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Experience with testing tools specific to AI/ML, such as DeepChecks or Alibi.
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Familiarity with data querying languages (SQL) and data processing tools (Pandas, Spark).
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Understanding of cloud platforms (AWS, GCP, Azure) and their AI/ML services.
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