Overview
We are looking for an AI Researcher to join the R&D team to build practical AI and machine learning solutions for real-world analytical problems. This role focuses on statistical modelling, predictive analytics, LLM-powered AI agents, and intelligent systems that work across structured and unstructured data. Fresh graduates with strong AI fundamentals and hands-on project experience are encouraged to apply.
Responsibilities
Research & Data Analysis
- Perform exploratory data analysis (EDA) and identify meaningful trends and patterns from datasets.
- Develop predictive and statistical models including regression, classification, and forecasting models.
- Conduct hypothesis testing, significance testing, and model validation.
AI & LLM Development
- Design and develop AI agents powered by LLMs to automate analytical workflows.
- Build systems that integrate LLMs with databases, predictive models, and external tools.
- Evaluate AI agent performance including reasoning quality, hallucination handling, and task completion.
Technical Development
- Develop clean and scalable Python code for machine learning and data processing pipelines.
- Work with SQL databases and structured datasets.
- Contribute to reproducible AI workflows, experiment tracking, and shared codebases.
Essential Technical Skills
- Strong Python programming skills with libraries such as Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, and Seaborn.
- Hands-on experience in machine learning, statistical modelling, and predictive analytics.
- Experience with data wrangling, feature engineering, missing data handling, and structured datasets.
- Good understanding of supervised, unsupervised, and generative AI models.
- Familiarity with SQL and relational databases.
- Exposure to LLMs, AI agents, RAG, LangChain, vector databases, or GenAI frameworks is advantageous.
- Strong mathematical foundations in statistics, linear algebra, calculus, and optimisation.
Singaporean ONLY