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.
Collaboration & Quality Ownership
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 .
Required Skills & Qualifications
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.
Equal Employment Opportunity
Reasonable Accommodations
Recruitment Fraud Notice
Benefits
Health insurance
Additional Information
This is where your work makes a difference.
At Baxter, we believe every person-regardless of who they are or where they are from-deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond.
Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results.
Here, you will find more than just a job-you will find purpose and pride.
We are seeking an Senior Automation Engineer with 6+ years strong hands-on experience in AI/ML model validation and testing . This role focuses on ensuring the quality, reliability, accuracy, and robustness of AI/ML and LLM-based systems through systematic validation, data quality checks, and automated evaluation pipelines.
The ideal candidate has solid experience working with supervised ML models, LLMs, and ML pipelines , strong Python-based validation scripting skills , and a deep understanding of data, model behavior, and evaluation metrics .
Baxter · Bangalore, India