IMDA CLT - Machine Learning Engineer

TRAINOCATE (S) PTE. LTD.

Singapore

On-site

SGD 90,000 - 150,000

Full time

10 days ago
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Job summary

Trainocate (S) PTE. LTD. invites applications for a Machine Learning / AI Engineer or MLOps Engineer to join a contract-for-service opportunity in Singapore.

You will develop, deploy, and optimize AI solutions that enhance product capabilities and user experiences, collaborating with cross-functional teams to build scalable systems. You will work with cutting-edge technologies such as computer vision, natural language processing, and generative AI, focusing on reliable deployment, monitoring,

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

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.

Job Description

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.
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