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Lead MLOps Engineer/MLOps Engineer – Build & Optimize Machine Learning Pipelines, Ensure Seamless Deployment

SpringCube

Contract - Manager

Public Sector or Government

Singapore ( Hybrid )

Published 4 weeks ago

Salary: SGD10,000 - SGD15,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Lead MLOps Engineer/MLOps Engineer – Build & Optimize Machine Learning Pipelines

Company Overview
This innovative Science and Technology Agency is dedicated to enhancing homeland security through cutting-edge technologies. Focusing on areas such as cybersecurity, artificial intelligence, forensics, and surveillance, the organization works collaboratively across multiple departments to empower the nation’s security forces. Its mission is to secure the future of the nation by developing groundbreaking solutions that contribute to public safety and national resilience.

Job Description
The Lead MLOps Engineer/MLOps Engineer will work with a dynamic team to design, build, and optimize machine learning pipelines while ensuring the seamless deployment and scaling of models. Key responsibilities include:

  • Collaborating with data scientists and engineers to understand model requirements and deployment needs.
  • Translating ML models into scalable APIs to integrate with other software components.
  • Automating the setup and maintenance of CI/CD pipelines and ML environments using Infrastructure as Code (IaC).
  • Implementing scripts and tools to monitor application health and model performance, using logging, monitoring, and alerting systems to track performance metrics.

What We Are Looking For

  • Bachelor’s or Master’s degree in STEM disciplines.
  • System architecture design and product deployment experience is advantageous for senior roles.
  • Proficiency in the following technologies:
    • Container management and orchestration tools (e.g., Docker, Kubernetes)
    • Deep Learning Frameworks (e.g., PyTorch, TensorFlow)
    • MLOps/DevSecOps tools (e.g., Git, Jenkins, Terraform)
    • Cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure)

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To apply, click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.