AI Researcher
Listed on 2026-10-15
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Engineering
About the company
We are representing a research and technology organization focused on developing advanced analytical solutions that combine data science, machine learning, and artificial intelligence.
ResponsibilitiesAnalyze structured and unstructured data to identify patterns, trends, and statistically significant insights that support research and business objectives.
Develop and apply predictive models, including regression, classification, time-series forecasting, and other statistical or mathematical modeling techniques.
Conduct exploratory data analysis (EDA), feature engineering, data quality assessment, and model validation using appropriate evaluation frameworks.
Design and execute statistical experiments, including hypothesis testing, significance testing, and power analysis.
Research, design, and develop AI agents powered by Large Language Models (LLMs) to automate and orchestrate analytical workflows.
Integrate AI agents with databases, predictive models, and data pipelines to enable autonomous querying, reasoning, and interpretation of results.
Evaluate agent performance across task completion, reasoning quality, tool utilization, hallucination rates, and failure handling.
Build scalable data processing, machine learning, and visualization solutions using Python and related technologies.
Query, manipulate, and analyze data from relational databases using SQL.
Contribute to reproducible data pipelines, experiment tracking, code reviews, technical documentation, and research reporting.
Present technical findings and recommendations to both technical and non-technical stakeholders.
Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative discipline. Fresh graduates with strong technical foundations are encouraged to apply.
Proficiency in Python and core data science libraries, including Pandas, Num Py, Scikit-learn, Sci Py, Matplotlib, and Seaborn.
Strong understanding of data wrangling, feature engineering, data normalization, missing data handling, and outlier detection.
Solid mathematical foundations in linear algebra, calculus, optimization, probability.
Working
Location:
Singapore
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