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Posted 9 days ago
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Role at a glance
You will
Develop and assess judge-builder candidates; contribute reusable components, runbooks and lessons to the network.
Experience
4+ years
Must-have skills
Python
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Job description
The Solutions Architect is APAJ's technical lead for automated quality judgment. The role partners with Quality Specialists, QOMs, Science and Engineering to move workflows from sampled batch inspection to trustworthy unit-level judgment, and acts as a Technical Bar Raiser for judge builders.
Key job responsibilities - Turn workflow requirements and conventions into judge designs, deterministic checks and transformation logic, and review difficult designs. - Streamline existing judge measurement and onboarding mechanisms — including precision measurement, judge onboarding decisions and the handoff to DCE — so they run consistently and at scale. - Provide technical input to RED certification and data-classification work for critical-data workflows. - Develop and assess judge-builder candidates; contribute reusable components, runbooks and lessons to the network.
- 2+ years of design, implementation, or consulting in applications and infrastructures experience - 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 5+ years of IT development or implementation/consulting in the software or Internet industries experience - Experience using a current programming language, such as Python, to build scripts, prototypes or reusable components - Experience with large language models, prompt design or automated evaluation
- Experience working within software development or Internet-related industries - Experience working with AWS technologies from a dev/ops perspective - Experience building or evaluating ML- or LLM-based quality or evaluation systems in production - Experience interpreting precision, recall, calibration, agreement or error-analysis results - Experience with data annotation, labelling or content-quality workflows - Familiarity with data-classification, access-control or security review requirements
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This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
Questions you may be asked
What is the difference between mutable and immutable types in Python?
What is the difference between a list and a tuple?
