Mandatory (Total Experience): Must have 5+ years of overall experience in Testing/QA
Mandatory (Experience 1): Must have 2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics models
Mandatory (Experience 2): Must have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transparent
Mandatory (Experience 3): Must have strong experience to design AI/ML test strategies, including boundary testing, adversarial input simulation, and anomaly monitoring to detect manipulation attempts by marketplace users (buyers/sellers)
Mandatory (Tools & Frameworks): Proficiency in AI/ML testing frameworks and tools (like PyTest, TensorFlow Model Analysis, MLflow, Python-based data validation libraries, Jupyter) with the ability to integrate into CI/CD pipelines
Mandatory (Business Awareness): Must understand marketplace misuse scenarios, such as manipulating recommendation algorithms, biasing fraud detection systems, or exploiting gaps in automated scoring
Mandatory (Communication Skills): Must have strong verbal and written communication skills, able to collaborate with data scientists, engineers, and business stakeholders to articulate testing outcomes and issues.
Mandatory (Education):Degree in Engineering, Computer Science, IT, Data Science, or a related discipline (B.E./B.Tech/M.Tech/MCA/MS or equivalent)
Mandatory Location: Candidate must be based within Delhi NCR (100 km radius)
Preferred
Preferred (Certifications): Certifications such as ISTQB AI Testing, TensorFlow, Cloud AI, or equivalent applied AI credentials are an added advantage.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon