BOLD is seeking a senior qualified to implement and run Testing and Quality
Assurance specifically designed for AI-driven products and Data Science
workflows. In this role, you will bridge the gap between traditional software
testing and modern machine learning evaluation. You have a great team management
and organizational skills. You’ll have a broad mastery of capabilities,
techniques, technologies and tools in the Testing and QA domains. You’ll be
handling QA teams of various sizes and expertise.
ABOUT THIS TEAM
The Data Science department at BOLD is responsible for discovering patterns and
trends in datasets to get insights, creating predictive algorithms and data
models, improving the quality of data or product offerings by utilizing machine
learning techniques, distributing suggestions to other teams and top management,
and using data tools such as Python and SQL.
The Data Science team actively collaborates with other vertical teams such as
Engineering, Portals, BI, Product, Legal. Most of the projects are focused
around problems that require a mix of natural language processing and machine
learning. Some of the active projects are resume parsing, ranking, summary
generation, data quality and scoring, content generation, job recommendations,
and conversion analysis. Apart from the business initiatives, the team also
explores state of the art methods and keeps them up to to date with technology.
WHAT YOU’LL DO
* Develop and own the QA strategy for AI-driven features, focusing on model
accuracy, data drift, and performance metrics (Precision, Recall, F1-score).
* Implement state-of-the-art AI tools (e.g., GitHub Copilot, or custom LLM
agents) to automate test case generation, code analysis, and synthetic data
creation.
* Oversee the testing of Generative AI outputs, implementing "LLM-as-a-judge"
frameworks to evaluate hallucination rates, toxicity, and prompt adherence.
* Develop and own BOLD’s quality framework from product development through to
produc
📌 Module Lead, Data Science (Noida)
🏢 BOLD
📍 Noida