Data Quality Engineer

1 week ago

India Vayuz Technologies Full time ₹ 12,00,000 - ₹ 24,00,000 per year

ur AI/ML engineering team ensures delivers innovative, immersive web experiences that delight our clients and their customers. We are always striving to balance the demanding nature of working on cutting-edge technologies with the real-world demands of high performance, high security, and accessibility. Working in collaboration with our multi-disciplinary engineering, design, and quality assurance teams, you will build software that solves real-world problems for incredible clients.

WHAT YOULL DO:

  • Write Python and SQL scripts to evaluate outputs from large language models (LLMs).
  • Design and implement LLM-as-Judge evaluations with clear scoring rubrics (faithfulness, relevance, completeness, correctness).
  • Define and calculate quality metrics such as exact match, token-level F1, ROUGE, and subjective rubric scores.
  • Build and maintain ground-truth datasets for benchmarking and regression testing.
  • Automate evaluation pipelines and integrate them into CI/CD workflows.
  • Conduct in-depth analysis of large unstructured datasets to identify inconsistencies, anomalies, missing values, and potential biases
  • Diagnose and report failure modes (hallucinations, irrelevant answers, formatting errors).
  • Collaborate and serve as a crucial link between AI engineers, QA, data scientists and product managers to set quality standards and release criteria.
  • Document processes and maintain reproducibility of evaluation runs.
  • Create comprehensive technical documentation, including design specifications, architecture diagrams, and code comments.

WHAT YOULL NEED:

  • Strong proficiency in Python and SQL (data handling, scripting, test automation).
  • Experience with data cleaning and standardization techniques to facilitate ingestion and analysis by various teams
  • Understanding of generative AI concepts (prompts, hallucinations, grounding)
  • Experience designing structured LLM prompts for evaluations.
  • Familiarity with at least one evaluation framework (RAGAS, DeepEval, TruLens, LangSmith) or ability to learn quickly.
  • Familiarity with cloud runs and automation (GCP preferred) or ability to learn quickly
  • Ability to translate ambiguous quality expectations into measurable metrics.
  • Excellent problem-solving abilities and analytical thinking
  • Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders

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