QA Architect - R01571456

Análisis del mercado

Stack

Gratis, tras iniciar sesión.

Postular

Sube tu CV: empleadores y reclutadores de distintos países que buscan tu perfil podrán contactarte directamente.

Descripción

QA Architect Job requirements - Experience Range: With at least 7 years of quality assurance experience, including substantial hands-on work with data science and machine learning testing frameworks Key Responsibilities: Design and implement automated testing strategies for AI and data science outputs, ensuring accuracy and reliability across models and pipelines - Develop and maintain robust evaluation and validation frameworks for backend and frontend components, leveraging statistical and machine learning techniques - Collaborate with data scientists and engineers to define test cases, hypotheses, and statistical metrics for model assessment and improvement - Integrate advanced statistical tests such as T-Test, Z-Test, and regression analyses into automated QA workflows to validate model performance - Utilize tools like Great Expectations, Evidently AI, and specific machine learning frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet) to monitor, track, and report on model drift, anomalies, and forecast accuracy - Optimize testing processes for scalability and efficiency using Python, PySpark, R, and related technologies in large-scale data environments - Configure and manage testing infrastructure using platforms such as KubeFlow and BentoML to streamline deployment and evaluation cycles - Troubleshoot and resolve issues in automated testing pipelines, driving continuous improvement and high-quality deliverables - Required Skills: Advanced proficiency in Py

Descripción completa, empresa y enlace para postular: después de iniciar sesión. Iniciar sesión

Los contactos del empleador (correo/teléfono/telegram) están ocultos en la vista previa pública. Envía tu CV para que los empleadores puedan contactarte directamente.