Description

You will develop and implement AI-driven quality engineering solutions.

Responsibilities

• Conduct feasibility studies and develop proof-of-concepts for AI-driven QE solutions, including Defect Predictability and Test Case Generation.
• Build custom utilities, prototypes, and automation tools to address specific quality challenges.
• Collaborate with QE, development, and DevOps teams to integrate advanced automation into existing pipelines.
• Provide technical input on automation solutions supporting divestiture-related activities.
• Research emerging AI/ML technologies and evaluate their applicability to software quality.

Required Skills

• 7+ years of software quality engineering and test automation experience.
• Strong programming skills in Java, JavaScript, or Python.
• Proven ability to design and deliver custom automation solutions.
• Familiarity with AI/ML concepts applied in quality or automation contexts.
• Experience with modern automation tools like Playwright, Selenium, or Cypress.
• Proficiency in API testing.
• DevOps pipeline knowledge sufficient to integrate automation effectively.
• Ability to work independently in a remote environment.

Preferred Skills

• Experience with cloud environments (AWS, Azure, or GCP).
• Background in data engineering or model training.

Key Skills

Education

Any Graduate