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Senior Quality Assurance Engineer

2 months ago

Chicago, Illinois, United States Planet Technology Full time

Job Summary

We are seeking a highly skilled Senior Quality Assurance Engineer to join our team at Planet Technology. As a key member of our software development team, you will be responsible for designing and executing tests for machine learning pipelines, ensuring the accuracy and reliability of our models.

Key Responsibilities

  • Test Design and Execution: Design and execute tests for machine learning pipelines, including testing model accuracy, bias, and data validation.
  • Test Automation: Develop and maintain test automation frameworks using tools like Pytest and TensorFlow Extended.
  • Scripting and CI/CD: Develop scripts in Python and utilize CI/CD tools like Git and Jenkins to ensure seamless integration and deployment of our models.
  • Model Validation and Integration: Validate and integrate machine learning models into deployment pipelines, ensuring smooth operation and high performance.
  • Monitoring and Maintenance: Monitor model performance using tools like Prometheus and Grafana, and perform maintenance tasks to ensure optimal model performance.
  • Agile Environment: Work within an Agile environment, collaborating with cross-functional teams to deliver high-quality software solutions.
  • Containerization and Orchestration: Utilize containerization (Docker) and orchestration (Kubernetes) tools to ensure efficient and scalable deployment of our models.

Requirements

  • At least 2 years of experience in software quality assurance, with a focus on machine learning testing.
  • Proficiency in test automation tools, scripting languages (Python), and CI/CD tools.
  • Experience with data quality tools, containerization (Docker), and orchestration (Kubernetes).
  • Strong understanding of machine learning concepts and testing methodologies.