Machine Learning Platform Engineer

Michael Page International; Singapore; On-site; SGD 100,000 - 123,000; Full time

Benefits offered by this job

Comprehensive medical benefits

Attractive leave entitlement

Job summary

Michael Page International in Singapore is seeking a Machine Learning Platform Engineer to develop and optimise next-generation AI platforms. You will own the end-to-end MLOps lifecycle, collaborating with data scientists and engineers to deploy models in production.

The role emphasizes scalability, reliability, and staying at the forefront of ML technologies, with a focus on operational efficiency and platform documentation.

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

Python

Java

LLMs

Problem solving

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

• Competitive monthly salary ranging from SGD 9000 to SGD 11000.
• Comprehensive medical benefits.
• Attractive leave entitlement.

This temporary position in Singapore offers a chance to work on cutting-edge technology within the financial services industry.