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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Dun & Bradstreet • Chennai, Tamil Nadu, India
Role & seniority
Stack/tools
Python (test scripts, data analysis)
ML libraries/frameworks: TensorFlow, PyTorch, Scikit-learn
Testing tools: PyTest, Selenium, Postman
Data/query: SQL; Git for version control
Top 3 responsibilities
Design, develop, and execute test plans and cases to validate AI/ML functionality, performance, and reliability
Perform data validation, assess biases, and ensure fairness and compliance; analyze model performance (accuracy, precision, recall, F1)
Track defects, collaborate with developers, maintain automated testing frameworks, conduct exploratory testing, and produce coverage/reports
Must-have skills
Bachelor’s degree in CS, Engineering, Statistics, or related field
Solid software testing principles and SDLC understanding
Proficiency in Python; basic ML concepts
SQL, Git; experience with ML libraries and testing tools
Strong analytical, detail-oriented, and collaborative communication
Nice-to-haves
Practical experience with TensorFlow, PyTorch, or Scikit-learn in testing contexts
Experience building/maintaining automated test frameworks
Familiarity with AI testing methodologies, guardrails, and bias detection
Location & work type
Hyderabad, India (on-site/global center) | Full-time, Associate role
Equal opportunity employer; standard compliance and support accommodations as needed
Analyst, AI QA Engineer
Why We Work at Dun & Bradstreet We are at a transformational moment in our company journey - and we’re so excited about it. Each day, we are finding new ways to strengthen our award-winning culture, and to accelerate creativity, innovation and growth. Our purpose is to help customers improve business performance with Dun & Bradstreet’s Data Cloud and Live Business Identity, and we’re wildly passionate and committed to this purpose. So, if you’re looking to make an immediate impact at a company that welcomes bold and diverse thinking, come join us!
Design, develop, and execute test plans and test cases to validate the functionality, performance, and reliability of AI/ML systems.
Collaborate with the development team to understand model requirements and identify potential areas of weakness.
Perform data validation to ensure the quality, integrity, and representativeness of the datasets used for training and testing.
Test for and identify potential biases in AI models to ensure fairness and ethical compliance.
Analyze and report on model performance using key metrics (e.g., accuracy, precision, recall, F1-score).
Ensure accuracy, consistency, tool-call reliability, trace quality, and guardrail adherence.
Assess regression, functionality, performance, safety, and hallucination risks.
Document and track defects and work with developers to facilitate their resolution.
Assist in the development and maintenance of automated testing frameworks for AI applications.
Conduct exploratory testing to discover edge cases and unexpected behaviors in our AI systems.
Stay current with the latest advancements in AI testing methodologies and tools.
Produce test plans, scenario libraries, coverage reports, and defect logs.
Deliver insights to Data Science & Engineering teams to improve reliability.
Bachelor's degree in Computer Science, Engineering, Statistics, or a related technical field.
Solid understanding of software testing principles and the software development lifecycle (SDLC).
Basic programming proficiency, preferably in Python, for writing test scripts and analyzing data.
A foundational understanding of machine learning concepts (e.g., supervised/unsupervised learning, classification, regression).
Strong analytical and problem-solving skills with an exceptional eye for detail.
Excellent communication and collaboration skills, with the ability to articulate technical issues clearly.
Prior internship or project experience in software testing or a data-related field.
Familiarity with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience with testing tools and frameworks like PyTest, Selenium, or Postman.
Knowledge of SQL for querying and validating data.
Familiarity with version control systems like Git.
A genuine passion for artificial intelligence and a desire to learn and grow in the field.
All employees and contractors working in D&B should be aware that they have responsibilities in relation to the Company’s Business Management System. This relates to information and its security, quality, environment and health and safety both during and post-employment with D&B. Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, age, national origin, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. We are committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Dun & Bradstreet and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to TalentAcquisitionTeam@dnb.com. Determination on requests for reasonable accommodation are made on a case-by-case basis.
Seniority level Associate Employment type Full-time Job function Information Technology Industries Information Services