AI/ML SDET

Job Title: AI/ML SDET

Job Location: Fort Mill, SC OR Austin, TX

Interview: Virtual

Job Duration: 6 months C2H



Job Summary:

We are looking for a Senior SDET with strong automation experience and a passion for cutting-edge technology, especially in the AI/ML space. This role will focus on building robust test automation frameworks and leveraging AI/ML capabilities to improve software quality across platforms. The ideal candidate will be hands-on with Java and Python, REST API testing, and experienced in integrating intelligent testing strategies into modern CI/CD pipelines.

Key Responsibilities:

• Develop and maintain automation frameworks for web, API, and data services using Selenium, Playwright, or similar tools.
• Build intelligent testing solutions leveraging AI/ML models for anomaly detection and test case optimization.
• Collaborate with cross-functional teams to ensure end-to-end product quality across Advisor, Investor, and Teammate platforms.
• Perform REST API testing using tools like Postman, RestAssured, or Karate.
• Drive shift-left testing by embedding quality checks early in the CI/CD pipeline (Jenkins, GitHub Actions, Azure DevOps).
• Write and execute complex SQL queries for data validation and integrity checks.
• Participate and lead Agile ceremonies including PI Planning, Sprint Reviews, and Retrospectives.
• Mentor junior SDETs and conduct code reviews to ensure best practices in automation.
• Lead testing strategy and delivery across multiple releases and high-impact projects.

Required Skills:

• 6+ years of experience in test automation and quality engineering.
• Strong hands-on programming skills in Java and Python.
• Experience with Selenium, Playwright, or Cypress.
• Expertise in REST API testing and integration validation.
• Solid knowledge of CI/CD pipelines and DevOps integration.
• Proficiency in SQL and working with large datasets.
• Familiarity with AI/ML frameworks and applying them in testing workflows.
• Strong debugging and analytical skills.

Preferred Qualifications:

• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Understanding of data pipelines, ETL testing, and data quality monitoring.
• Exposure to generative AI, prompt engineering, or AI-driven test optimization tools.
• Contributions to open-source testing or AI projects are a plus.