AI/ML QA Automation Engineer
Posted 5 days ago by 1756184958
Negotiable
Outside
Remote
USA
Summary: The AI/ML QA Automation Engineer role is a remote position focused on developing custom automation solutions for software quality engineering. The candidate should possess extensive experience in test automation and programming, particularly in Java, JavaScript, or Python, and have familiarity with AI/ML concepts. The role requires strong analytical skills and the ability to work independently in a fast-paced environment. The position is outside IR35 and is contract-based for over six months.
Key Responsibilities:
- Design and deliver custom automation solutions for software quality engineering.
- Apply AI/ML concepts in quality or automation contexts, such as predictive models and data-driven testing.
- Utilize modern automation and testing tools, including Playwright, Selenium, and Cypress.
- Collaborate effectively with DevOps teams to ensure seamless automation integration.
- Work independently in a remote environment.
Key Skills:
- 7+ years of software quality engineering and test automation experience.
- Strong programming skills in Java, JavaScript, Python, or similar.
- Proven ability to design custom automation solutions.
- Familiarity with AI/ML concepts.
- Strong analytical and problem-solving skills.
- Experience with modern automation and testing tools.
- DevOps pipeline knowledge.
- Ability to work independently in a remote environment.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
AI/ML QA Automation Engineer
Remote
6+ Months of Contract
Required Skills & Experience
7+ years of software quality engineering and test automation experience, with strong programming skills in Java, JavaScript, Python, or similar.
Proven ability to design and deliver custom automation solutions (not just implement existing frameworks).
Familiarity with AI/ML concepts and experience applying them in quality or automation contexts (e.g., predictive models, data-driven testing, NLP).
Strong analytical and problem-solving skills, with a passion for experimentation and innovation.
Experience with modern automation and testing tools (e.g., Playwright, Selenium, Cypress, API testing).
DevOps pipeline knowledge enough to work effectively with DevOps teams and ensure seamless automation integration, but not focused on building pipelines directly.
Ability to work independently in a remote, fast-paced environment.