
Principal Machine Learning Engineer (Ads)
Logistics & Transportation
Singapore ( Onsite )
Published 2 days ago
Salary: SGD10,000 - SGD15,000
- Global Companies
- Machine Learning Engineering ML
Full time - Senior Associate/ Asst Manager
Public Sector or Government
Singapore ( Onsite )
Published 1 month ago
Salary: SGD5,000 - SGD10,000
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Company Overview
Our client is dedicated to enhancing public safety and security through the development and deployment of advanced technological solutions. They focus on force multiplying capabilities through scientific and technological breakthroughs, securing a safer and more resilient future. Joining their team means contributing to vital projects that directly impact national safety.
Lead MLOps Engineer/MLOps Engineer, xData
What the role is
In this role, you will build and optimize machine learning pipelines, ensuring seamless deployment of models, scaling solutions, and playing a pivotal role in safeguarding the nation. You’ll have the opportunity to directly contribute to critical goals by developing and implementing robust MLOps practices.
What you will be working on
The job-holder is expected to collaborate with various teams and is responsible to:
a. Work closely with data scientists and other engineers to understand model requirements and deployment needs.
b. Translate ML models into scalable APIs to facilitate model interaction with other software components within the application.
c. Develop scripts using Infrastructure as Code (IaC) to automate the setup and maintenance of CI/CD pipelines and ML environments, ensuring consistency and reliability.
d. Implement scripts and tools to monitor application health and model performance, utilising proper logging, monitoring and alerting systems to track key performance metrics.
What we are looking for
• Bachelor’s / Master’s degree in STEM disciplines.
• Applicants with system architecture design and product deployment experience will be considered for more senior positions.
• Proficiency in the following technologies:
o Container management and orchestration tools (e.g, Docker, Kubernetes)
o Deep Learning Frameworks (e.g, PyTorch, TensorFlow)
o ML Ops / DevSecOps Tools (e.g, Git, Jenkins, Terraform)
o Cloud Platforms (e.g, AWS, Google Cloud, Microsoft Azure)
Personal Characteristics & Behaviours
• good critical thinking, data analysis and problem-solving skills
• good written and verbal communication skills
• good interpersonal and stakeholder management skills
• ability to work under tight timelines
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
Logistics & Transportation
Singapore ( Onsite )
Published 2 days ago
Salary: SGD10,000 - SGD15,000
Logistics & Transportation
Singapore ( Onsite )
Published 2 days ago
Salary: SGD10,000 - SGD15,000
Social Networking & Media
Singapore ( Onsite )
Published 3 days ago
Salary: SGD5,000 - SGD10,000
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