IMDA CLT - Machine Learning Engineer

TRAINOCATE (S) PTE. LTD.; Singapore; On-site; SGD 125,000 - 150,000; Full time

Job summary

A leading training provider in Singapore is looking for a Machine Learning / AI Engineer to develop and optimize advanced AI solutions. This role involves designing machine learning models, collaborating with cross-functional teams, and deploying AI systems that enhance product capabilities. Ideal candidates will be eager to stay updated on emerging technologies and apply best practices in a dynamic environment. This position aims to support fresh graduates and mid-career professionals in entering tech or pivoting within the industry.

Responsibilities

• Design, develop, and maintain machine learning models and pipelines.
• Collaborate with teams to integrate AI solutions into products and services.
• Deploy and monitor AI models in production environments.
• Optimize model performance, scalability, and reliability.
• Stay updated on emerging AI technologies and apply best practices.

Job description

Job Description

AWS Career Launchpad with Trainocate Supports fresh graduates and mid-career professionals — specifically Singaporeans and Permanent Residents (PRs). This contract for service opportunity allows you to enter tech or pivot within.

As a Machine Learning / AI Engineer or MLOps Engineer, you will develop, deploy, and optimize advanced AI and machine learning solutions that transform product capabilities and enhance user experiences. You will work collaboratively with cross-functional teams to build scalable AI systems using cutting-edge technologies like computer vision, natural language processing, and generative AI, driving innovation and business growth.

Job Responsibilities

• Design, develop, and maintain machine learning models and pipelines.
• Collaborate with teams to integrate AI solutions into products and services.
• Deploy and monitor AI models in production environments.
• Optimize model performance, scalability, and reliability.
• Stay updated on emerging AI technologies and apply best practices.