Description

Design, develop, and execute test strategies for Machine Learning, Android, iOS, and web applications. Own the automation framework to improve coverage and internal tooling.

Responsibilities

• Design and execute comprehensive test plans for ML, mobile, and web platforms.
• Produce requirements traceability matrices, automation feasibility analyses, and time estimations.
• Identify, document, and track ML model accuracy metrics and software defects.
• Collaborate with ML and development teams to resolve tracked issues.
• Automate test cases using existing frameworks to increase coverage and improve internal tooling.

Required Skills

• 5+ years of AI/ML test automation and machine learning framework experience.
• Expert-level proficiency in Python, Java, and C++.
• Hands-on experience with TensorFlow, PyTorch, and Keras.
• Experience with Appium and Selenium.
• Deep knowledge of Machine Learning, specifically Natural Language Processing and Computer Vision.
• Strong Linux OS skills and proficiency with CLI tools and scripting.
• Experience with CI/CD tools like Jenkins.
• Experience with MLOps tools such as W&B, MLFlow, or Airflow.
• Very good written and verbal English communication skills.

Key Skills

Education

Any Graduate