Senior AI SDET: Scalable Testing for AI Apps

Synechron

Alpharetta (GA)

On-site

USD 110,000 - 170,000

Full time

3 days ago
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Benefits offered by this job

Competitive compensation
Global opportunities
Paid time off
Healthcare coverage
401(k) plan

Job summary

Synechron is seeking a Senior Software Development Engineer in Test (SDET) with AI/ML QA expertise to design and maintain scalable automation frameworks for AI-powered products. You will collaborate with software engineers, data scientists, product managers, and DevOps to define testing strategies across the lifecycle.

Ideal candidates have deep test automation experience, strong software engineering skills, and hands-on work validating AI/ML systems for functionality, performance, security, and

Qualifications

  • 5+ years in software development, test automation, SDET, or quality engineering.
  • Experience designing and maintaining automation frameworks.
  • Strong knowledge of testing principles, test strategy and defect management.
  • Experience testing RESTful APIs, microservices, databases, and distributed systems.

Responsibilities

  • Design and implement scalable test automation frameworks for web, mobile, API, and backend systems.
  • Develop comprehensive AI/ML test strategies and validation methods.
  • Create automated tests for functionalities, regression, performance, and data pipelines.
  • Validate AI model outputs using metrics, datasets, and acceptance criteria.
  • Test AI/ML systems for bias, fairness, security, and privacy.

Skills

Automation frameworks design
AI/ML testing concepts
RESTful API testing
CI/CD pipelines
Cloud platforms (AWS/Azure/GCP)
SDET/test automation
Distributed systems testing

Tools

Selenium
Playwright
Cypress
Appium
REST Assured
PyTest
JUnit

Job description

Synechron is seeking a Senior Software Development Engineer in Test (SDET) with AI/ML QA expertise to design and maintain scalable automation frameworks for AI-powered products. You will collaborate with software engineers, data scientists, product managers, and DevOps to define testing strategies across the lifecycle.

Ideal candidates have deep test automation experience, strong software engineering skills, and hands-on work validating AI/ML systems for functionality, performance, security, and

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