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Sr Eng, Test

https://www.baxter.com/ Logo

Baxter

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

This is where new knowledge is discovered. Baxter’s Research and Development teams work cross functionally to innovate, develop and introduce creative solutions for patients needs globally. From Scientists to Engineers, your work creates the products that save and sustain lives.

Job Responsibility:

  • Design and execute validation strategies for AI/ML models, including supervised learning models and large language models (LLMs)
  • Perform functional, regression, and behavioral testing of ML models across versions
  • Validate model outputs for accuracy, consistency, bias, and edge cases
  • Evaluate LLM responses for correctness, relevance, hallucinations, and safety
  • Design and implement data quality validation checks for training, validation, and inference datasets
  • Detect and analyze data drift and concept drift across model iterations and production data
  • Validate input data assumptions, feature distributions, and schema consistency
  • Collaborate with data and ML engineers to identify and resolve data-related issues impacting model performance
  • Develop Python-based validation scripts and frameworks to automate model evaluation, data validation, and regression testing across model versions
  • Implement automated checks for model performance metrics (precision, recall, F1, accuracy, etc.)
  • Build reusable validation utilities that integrate with ML workflows and pipelines
  • Execute LLM evaluation workflows including prompt‑response validation, golden dataset comparisons, and regression testing across prompt or model changes
  • Contribute to evaluation strategies for RAG (Retrieval-Augmented Generation) or multi‑step LLM pipelines
  • Support responsible AI initiatives by testing bias, robustness, and failure modes
  • Work closely with ML engineers, data scientists, platforms, and product teams
  • Actively participate in requirement discussions and model review sessions
  • Clearly document test results, risks, and quality insights for stakeholders
  • Contribute to continuous improvement of AI testing practices and standards

Requirements:

  • 4+ years of hands-on experience in AI/ML model testing, validation, or quality engineering
  • Strong proficiency in Python for model validation and data analysis
  • Experience validating supervised ML models and/or LLM-based systems
  • Solid understanding of ML evaluation metrics and validation techniques
  • Experience with data quality checks, drift detection, and dataset validation
  • Familiarity with ML pipelines and model lifecycle (training, validation, inference)
  • Ability to analyze model behavior and explain quality risks clearly
  • Good communication and collaboration skills
What we offer:
  • Support for Parents
  • Continuing Education/ Professional Development
  • Employee Heath & Well-Being Benefits
  • Paid Time Off
  • 2 Days a Year to Volunteer

Additional Information:

Job Posted:
April 24, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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