Are you interested in working with the World’s leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at Qualitest!
We are looking for a Data Engineer - AI Model Testing to join our growing team in Miami, FL, United States.
Requirements
Data Preparation: Collect, clean, and preprocess large datasets to be used in training and testing AI models, ensuring data quality and relevance.
Model Testing Framework Development: Develop and maintain robust testing frameworks to evaluate the performance and accuracy of AI models.
Performance Testing: Conduct tests to assess the models' performance metrics such as accuracy, precision, recall, and F1 score, ensuring they meet the predefined thresholds.
Data Pipeline Testing: Ensure the integrity and efficiency of data pipelines that feed into AI models, checking for issues such as data leakage, pipeline latency, and data transformation errors.
Model Validation: Validate AI models against new or unseen data to ensure generalization and prevent overfitting.
Monitoring Model Drift: Regularly monitor deployed models to detect and correct model drift, ensuring the model's predictions remain valid over time.
Collaboration with Data Scientists: Work closely with data scientists to understand model behavior and refine testing strategies based on model type and application.
Documentation: Maintain detailed documentation of testing protocols, results, and improvements made to models based on testing feedback.
Tool and Technology Evaluation: Research and implement the latest tools and technologies for testing AI models, enhancing the efficiency and effectiveness of testing processes.
Ethics and Compliance: Ensure all tests adhere to ethical guidelines and regulatory standards, particularly concerning bias and fairness in model outputs.
Benefits
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