ML Evaluation Scientist - Data-Driven AI QA

ALLEGIS GROUP SINGAPORE PRIVATE LIMITED; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Allegis Group Singapore Pte Ltd is seeking an ML Evaluation Engineer/Data Scientist to bring statistical rigor and measurement excellence to the evaluation of AI and LLM systems. This role focuses on ensuring evaluation results are reliable, reproducible, and scientifically valid.

You will partner with ML Evaluation Engineers and Applied Scientists to answer questions like whether performance gains are real, whether evaluators are aligned, and whether we can trust the results.

Qualifications

• Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, Machine Learning, or a related field.
• Minimum 2+ years of professional experience in Data Science, Evaluation Science, Applied Statistics, or related disciplines.
• Strong foundation in statistical analysis, hypothesis testing, experimental design, and measurement methodologies.
• Experience working with structured and unstructured data using Python, SQL, and data analysis tools.
• Ability to communicate statistical findings clearly to technical and non-technical stakeholders.
• Experience building analytical dashboards and reporting solutions.

Responsibilities

• Design and execute statistical analyses for AI and LLM evaluation programs.
• Measure and improve inter-annotator agreement between human evaluators.
• Develop sampling methodologies and evaluation datasets to ensure representative results.
• Perform significance testing and statistical validation of model performance changes.
• Analyze golden sets and benchmark datasets to assess model quality and consistency.
• Build dashboards and reporting frameworks to monitor evaluation outcomes and trends.
• Identify sources of evaluation noise, bias, and inconsistency.
• Partner with ML Evaluation Engineers to validate automated judges against human raters.
• Provide data-driven recommendations regarding evaluation quality and model readiness.

Skills

Statistical analysis

Hypothesis testing

Experimental design

Python

SQL

Data visualization

Communicate results

Education

Bachelor's degree in Statistics/Data Science/CS/Math/ML

Master's degree or PhD in Statistics/Data Science/CS/Quantitative fields

Tools

Tableau/Power BI

Job description

Allegis Group Singapore Pte Ltd is seeking an ML Evaluation Engineer/Data Scientist to bring statistical rigor and measurement excellence to the evaluation of AI and LLM systems. This role focuses on ensuring evaluation results are reliable, reproducible, and scientifically valid.

You will partner with ML Evaluation Engineers and Applied Scientists to answer questions like whether performance gains are real, whether evaluators are aligned, and whether we can trust the results.