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Role at a glance
You will
Design, develop, and maintain automated test frameworks for AI-driven and data-intensive applications
Validate AI/ML models , including:
Accuracy, consistency, bias, and edge cases
Experience
5+ years
Must-have skills
AWSCI/CDComputer VisionCypressGitHub ActionsGitLab CI
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Job description
Location: Noida, India
We are seeking a Senior Software Development Engineer in Test (SDET) with strong hands-on experience in testing AI/ML-driven applications , preferably within the medical or healthcare domain . The ideal candidate will be responsible for designing robust test frameworks, validating AI outputs, ensuring regulatory compliance, and maintaining high quality standards for mission-critical healthcare solutions.
Key Responsibilities:
Design, develop, and maintain automated test frameworks for AI-driven and data-intensive applications
Validate AI/ML models , including:
Input data quality
Model outputs
Accuracy, consistency, bias, and edge cases
Perform functional, integration, regression, system, and end-to-end testing for AI tools used in medical workflows
Collaborate with Data Scientists, ML Engineers, Developers, and Product teams to define test strategies for AI features
Test model retraining cycles , versioning, and backward compatibility
Ensure compliance with healthcare regulations and standards (HIPAA, FDA guidelines, HL7, FHIR – as applicable)
Implement API, backend, and UI automation testing
Perform data validation testing for large datasets and pipelines
Conduct performance, scalability, security, and reliability testing for AI systems
Participate in code reviews, test planning, defect triaging, and CI/CD pipeline integration
Provide mentorship and guidance to junior QA/SDET team members
Required Skills & Qualifications:
5+ years of experience as an SDET / QA Automation Engineer
Strong hands-on experience in test automation using tools such as:
Selenium, Cypress, Playwright, or similar
Proficiency in at least one programming language:
Python, Java, or JavaScript/TypeScript
Solid experience in testing AI/ML-based applications , including:
Strong understanding of software testing fundamentals and QA best practices
Experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.)
Hands-on experience with test data management and data validation
Excellent analytical and problem-solving skills
Strong communication skills for working with global and cross-functional teams
Good to Have:
Experience in medical / healthcare domain projects
Familiarity with AI/ML concepts (model training, inference, drift, bias)
Knowledge of healthcare data standards such as HL7, FHIR, DICOM
Experience testing LLM-based tools , NLP, computer vision, or decision-support systems
Exposure to cloud platforms (AWS, Azure, or GCP)
Understanding of regulatory and compliance testing in healthcare products
About Us: TechAhead is a global digital transformation company with a strong presence in the USA and India. We specialize in AI-first product design thinking and bespoke development solutions . With over 15 years of proven expertise, we have partnered with Fortune 500 companies and leading global brands to drive digital innovation and deliver excellence. At TechAhead, we are committed to continuous learning, growth and crafting tailored solutions that meet the unique needs of our clients.
Join us to shape the future of digital innovation worldwide and drive impactful results with cutting-edge AI tools and strategies!
This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
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