Machine Learning Engineer

Michael Page International; Singapore; On-site; SGD 90,000 - 110,000; Full time

Benefits offered by this job

Medical benefits

Job summary

Michael Page International is seeking a Machine Learning Engineer in Singapore to develop, train and deploy ML models addressing business problems within a financial services context. You will collaborate with cross-functional teams to integrate ML solutions into existing systems and analyze large datasets for insights.

The role emphasizes staying updated on AI advancements, maintaining deployed models and documenting methodologies for reproducibility, with emphasis on a temporary position based

Qualifications

• A strong background in computer science, data science, or a related field.
• Experience with machine learning frameworks and tools.
• Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
• Proven experience working with Large Language Models (LLMs)
• Experience or good knowledge in Agentic AI , RAG etc
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• The ability to work effectively in a collaborative, technology-driven environment.
• Strong analytical and problem-solving skills.

Responsibilities

• Develop, train, and deploy machine learning models to solve business problems.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
• Analyse large datasets to identify trends and patterns.
• Optimise algorithms to improve model performance and accuracy.
• Monitor and maintain deployed models to ensure ongoing effectiveness.
• Document processes and methodologies for reproducibility and knowledge sharing.
• Stay updated with the latest advancements in machine learning and AI technologies.
• Provide technical support and guidance to team members as needed.

Skills

Python

ML frameworks

LLMs

Agentic AI

RAG

Machine Learning

TensorFlow

PyTorch

Education

Bachelor's degree in CS/Data Science

Tools

TensorFlow

PyTorch

Job description

• Work on Cutting-Edge GenAI & Agentic AI Solutions
• Own the End-to-End AI Development Lifecycle

About Our Client

An organisation within the financial services industry, located in Singapore.

Job Description

• Develop, train, and deploy machine learning models to solve business problems.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
• Analyse large datasets to identify trends and patterns.
• Optimise algorithms to improve model performance and accuracy.
• Monitor and maintain deployed models to ensure ongoing effectiveness.
• Document processes and methodologies for reproducibility and knowledge sharing.
• Stay updated with the latest advancements in machine learning and AI technologies.
• Provide technical support and guidance to team members as needed.

The Successful Applicant

A successful Machine Learning Engineer should have:

• A strong background in computer science, data science, or a related field.
• Experience with machine learning frameworks and tools.
• Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
• Proven experience working with Large Language Models (LLMs)
• Experience or good knowledge in Agentic AI , RAG etc
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• The ability to work effectively in a collaborative, technology-driven environment.
• Strong analytical and problem-solving skills.

What's on Offer

• Competitive monthly salary ranging from SGD 8100 to SGD 9900.
• Medical benefits to support your health and well-being.
• Opportunities to work on innovative projects in the financial services sector.
• Temporary position based in Singapore.