Machine Learning Platform Engineer-Contract

MICHAEL PAGE INTERNATIONAL PTE LTD

Singapore

On-site

SGD 100,000 - 123,000

Full time

4 days ago

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Benefits offered by this job

Competitive salary

Medical benefits

Leave entitlement

Job summary

MICHAEL PAGE INTERNATIONAL PTE LTD is seeking a Machine Learning Platform Engineer in Singapore to develop and optimise next-generation ML platforms. You will own the end-to-end MLOps lifecycle, ensuring scalability, performance, and production readiness of ML systems.

The role requires strong ML framework expertise, Python/Java proficiency, and experience with LLMs, Docker, and Kubernetes. Collaboration with data scientists and engineers is essential to deploy models and maintain platform

Qualifications

Strong technical expertise in machine learning frameworks and tools.
Proficiency in programming languages commonly used in machine learning, such as Python or Java.
Proven experience working with Large Language Models (LLMs).
DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
Experience with data engineering and model deployment in production environments.
Problem-solving skills and a proactive approach to addressing technical challenges.

Responsibilities

Develop and optimise machine learning platforms to support business requirements.
Ensure the scalability, performance, and reliability of machine learning systems.
Collaborate with data scientists and engineers to integrate machine learning models into production systems.
Design and implement workflows for data processing and model deployment.
Monitor and troubleshoot platform performance to ensure operational efficiency.
Stay updated on the latest trends and advancements in machine learning technologies.
Provide technical support and guidance to team members on platform-related issues.
Document processes and best practices for the use and maintenance of the platform.

Skills

ML frameworks

Python

Java

LLMs

Data processing

Model deployment

Tools

Docker

Kubernetes

Job description

Build Next-Generation AI & Agentic Platforms
Own the End-to-End MLOps Lifecycle

About Our Client

An organisation in the financial services industry located in Singapore.

Job Description

Develop and optimise machine learning platforms to support business requirements.
Ensure the scalability, performance, and reliability of machine learning systems.
Collaborate with data scientists and engineers to integrate machine learning models into production systems.
Design and implement workflows for data processing and model deployment.
Monitor and troubleshoot platform performance to ensure operational efficiency.
Stay updated on the latest trends and advancements in machine learning technologies.
Provide technical support and guidance to team members on platform-related issues.
Document processes and best practices for the use and maintenance of the platform.

The Successful Applicant

A successful Machine Learning Platform Engineer should have:

Strong technical expertise in machine learning frameworks and tools.
Proficiency in programming languages commonly used in machine learning, such as Python or Java.
Proven experience working with Large Language Models (LLMs)
DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
Experience with data engineering and model deployment in production environments.
Problem-solving skills and a proactive approach to addressing technical challenges.

What's on Offer