Job Description

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Machine Learning Engineer

Pluang Technologies Pte. Ltd., Singapore, Singapore, Singapore








Capability
N.A.
Department
Machine Learning
Job posted on
Aug 28, 2025
Employee Type
Full Time
Experience range (Years)
0 - 2 years
As a

Machine Learning Engineer (Trading & Financial Intelligence)

, you will contribute to the development of AI-powered systems and autonomous agents that transform how financial analysis and decision-making are conducted. Working under the guidance of senior team members, you will help build intelligent solutions that analyze markets, extract insights from financial data, and support risk management using machine learning and quantitative techniques. This role offers an excellent opportunity to learn and apply both traditional ML and modern LLM-based approaches to solve real financial problems while collaborating with experienced trading, research, and product teams.

What You Will Be Doing:

Assist in designing and implementing machine learning solutions for financial markets, from predictive models to AI agents powered by LLMs Support the development of intelligent systems using traditional ML approaches (time series analysis, anomaly detection, pattern recognition) and modern agentic frameworks Help apply quantitative methods and data mining techniques to extract insights from financial datasets under senior guidance Contribute to building ML pipelines for model development, backtesting, and production deployment with monitoring frameworks Support research platforms that enable experimentation with both classical statistical models and LLM-based approaches for financial analysis Work closely with traders, quants, researchers, and senior engineers to understand and help solve complex financial problems Assist in developing risk assessment and portfolio optimization systems using quantitative methods and AI-driven approaches Participate in code reviews, documentation, and knowledge sharing to continuously improve technical skills

What You Need to Be Successful in This Role:

We welcome all applicants who are eligible to work in Singapore

Bachelor's or Master's degree

in Computer Science, Machine Learning, Statistics, Mathematics, Physics, Financial Engineering, or related quantitative field

0-2 years of professional experience

in machine learning, data science, or software engineering (internships, projects, and academic experience count)

Solid programming skills

in Python with familiarity with scientific computing libraries (pandas, numpy, scikit-learn)

Foundational knowledge of machine learning

including supervised/unsupervised learning, basic deep learning concepts, and statistical modeling

Interest in Large Language Models

and modern AI techniques - experience with prompt engineering, fine-tuning, or agentic systems is a plus but not required

Strong mathematical and analytical foundation

with ability to learn and apply quantitative concepts to practical problems

Experience with data manipulation and basic feature engineering

from structured datasets

Eagerness to learn

with ability to work collaboratively in a mentorship-oriented environment

Good communication skills

to discuss technical concepts and ask questions effectively

Basic understanding of software engineering practices

including version control (Git) and testing

Curiosity about financial markets

- prior knowledge of trading systems or quantitative finance is beneficial but not required

Academic or personal projects

demonstrating ML skills through coursework, competitions, or self-directed learning




Senior Machine Learning Engineer II
Pluang Technologies Pte. Ltd., Singapore, Singapore, Singapore