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E2M • Ahmedabad, Gujarat, India
Role & seniority
Stack/tools
Automation: Selenium, PyTest, JUnit (or similar)
Version control/CI: Git, CI/CD fundamentals
Testing/validation: data validation, model evaluation metrics, bias/fairness checks
Documentation/QA metrics: test plans, results reports, QA dashboards
Data pipelines and AI/ML collaboration workflows
Top 3 responsibilities
Design, develop, and execute test plans and test cases for AI/ML models and AI-enabled apps (functional, non-functional, regression, performance)
Validate model accuracy, stability, robustness, fairness, and reliability across scenarios; end-to-end testing of data pipelines
Automate validation workflows; track, investigate, and report defects; collaborate with AI engineers/data scientists; contribute to QA framework and strategy
Must-have skills
Bachelor’s degree in CS/IT/Engineering or related field
3+ years QA experience (manual + automation); ≥1 year AI/ML system testing
Familiarity with automation tools (Selenium, PyTest, JUnit); Git; basic CI/CD concepts
Knowledge of data validation and model evaluation metrics; bias/fairness checks
Strong analytical, problem-solving, and collaboration skills; detail-oriented
Nice-to-have
Automated model testing frameworks
NLP, computer vision, or deep learning testing experience
Cloud platform experience (AWS/GCP/Azure)
Q
About E2M
E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, ecommerce, SEO, AI SEO, PPC, AI automation, and content writing. Founded on strong business ethics, we are an equal opportunity organization powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together. If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.
Job Summary
We are looking for a dedicated AI/ML Quality Assurance Engineer who will be responsible for ensuring the quality and reliability of AI/ML solutions, models, and intelligent systems. You will develop and execute test plans, validate model performance, collaborate with AI developers, and automate testing where applicable.
Key Responsibilities
Design, develop, and execute comprehensive test plans and test cases for AI/ML models and AI-enabled applications (functional, non-functional, regression, performance) Validate AI model accuracy, stability, robustness, fairness, and reliability under diverse scenarios Collaborate closely with AI engineers / data scientists to understand model behaviour and requirements Automate validation workflows using scripting languages/tools Track, investigate, and report issues/defects; work with developers for root-cause analysis Ensure end-to-end testing of data pipelines feeding AI system Contribute to continuous improvement of the AI QA framework and standards Create test documentation, results reports, and QA metrics dashboards Participate in planning and QA strategy discussions
Technical Skills
Bachelor’s degree in Computer Science, IT, Engineering, or related field. 3+ years overall QA experience (manual + automation; preferably including AI systems) At least 1 year of hands-on experience with AI/ML system testing or AI solutions Familiarity with automation tools (Selenium, PyTest, JUnit, or similar) Knowledge of version control (Git), CI/CD principles, test management tools Understanding of data validation, model evaluation metrics, bias/fairness checks
Soft Skills
Strong analytical and problem-solving ability Excellent communication and collaboration skills Detail-oriented, proactive in eliminating defects early Ability to work in cross-functional teams
Nice-to-Have
Experience in automated model testing frameworks Knowledge of NLP, computer vision, or deep learning testing Experience with cloud platforms (AWS / GCP / Azure) Certifications in AI/ML or QA (ISTQB, AI certification etc.) Show more Show less