QA Engineer AI/ML

Professional Experience: 

• 3+ years of experience in QA engineering, with at least 1+ years focused on testing AI/ML systems. 

• Proven expertise in testing machine learning models, data pipelines, and cloud-based AI solutions. 

• Hands-on experience with test automation tools and frameworks such as Selenium, PyTest, JUnit, or similar. 

• Familiarity with CI/CD pipelines and tools like Jenkins, GitHub Actions, or Azure DevOps. 

• Solid understanding of software testing methodologies, including functional, regression, performance, and stress testing. 

Technical Skills: 

• Proficiency in Python or Java, with experience in writing test scripts for AI/ML applications. 

• Knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. 

• Experience with testing tools specific to AI/ML, such as DeepChecks or Alibi. 

• Familiarity with data querying languages (SQL) and data processing tools (Pandas, Spark). 

• Understanding of cloud platforms (AWS, GCP, Azure) and their AI/ML services.