Data Science QA Tester/AI Tester

5 days ago


Toronto, Canada Ampstek Full time

Role :: Data Science QA Tester/AI TesterLocation :: Toronto,ON/Montreal,QC(Onsite)Type :: ContractKey Responsibilities:Develop and execute test plans and test cases for AI models and data science projects.Perform thorough testing of AI models, including regression testing, performance testing, and stress testing.Tune and optimize AI models to improve accuracy, efficiency, and scalability.Identify, document, and track defects and issues, collaborating with data scientists and engineers for resolution.Conduct code reviews and provide feedback on data science and AI-related code.Implement automated testing frameworks and tools to streamline testing processes.Analyze test results and provide actionable insights to improve model performance.Ensure compliance with industry standards and best practices for AI model development and testing.Stay up-to-date with the latest advancements in AI, machine learning, and testing methodologies.Communicate effectively with cross-functional teams, stakeholders, and management to report on testing progress and results.Qualifications:Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.Proven experience as a QA Tester in data science and AI projects.Strong knowledge of AI/ML algorithms, model tuning, and optimization techniques.Proficiency in programming languages such as Python, R, or similar.Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).Familiarity with testing tools and frameworks (e.g., Selenium, JUnit, pytest).Strong analytical and problem-solving skills with attention to detail.Excellent communication and collaboration skills.Ability to work independently and as part of a team in a fast-paced environment.ThanksAatmeshaatmesh.singh@ampstek.com



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    Role :: Data Science QA Tester/AI Tester Location :: Toronto,ON/Montreal,QC(Onsite) Type :: Contract Key Responsibilities: Develop and execute test plans and test cases for AI models and data science projects. Perform thorough testing of AI models, including regression testing, performance testing,


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