ML Infrastructure & Platform Engineer

Xcellink Pte Ltd; Singapore; On-site; SGD 80,000 - 140,000; Full time

Job summary

Xcellink Pte Ltd in Singapore is seeking an ML Engineer to develop and scale our AI platform. You will build robust ML pipelines, deploy AI workloads, and collaborate with data scientists and engineers to translate requirements into scalable ML solutions.

The role involves automating ML environments, maintaining scalable infrastructure, and ensuring model validation before deployment in a fast-paced, agile environment. Strong Linux, Python, and container orchestration skills are essential.

Qualifications

• Experience with Linux environments and Python development.
• Familiar with JavaScript or other scripting languages.
• Experience with Docker and Kubernetes.
• Experience with Kubeflow, MLflow, RunAI.
• Strong problem-solving and communication skills.
• Ability to work in a fast-paced, agile environment.
• Minimum 2 years of relevant working experience.

Responsibilities

• Design, build, and maintain scalable ML infrastructure.
• Automate ML environments and pipelines for consistency.
• Ensure automated testing and validation of models.
• Monitor model performance and health.
• Collaborate with data scientists and engineers.
• Participate in sprint ceremonies and backlog grooming.

Skills

Linux

Python

JavaScript

Tools

Docker

Kubernetes

Kubeflow

MLflow

RunAI

Job description

Xcellink Pte Ltd in Singapore is seeking an ML Engineer to develop and scale our AI platform. You will build robust ML pipelines, deploy AI workloads, and collaborate with data scientists and engineers to translate requirements into scalable ML solutions.

The role involves automating ML environments, maintaining scalable infrastructure, and ensuring model validation before deployment in a fast-paced, agile environment. Strong Linux, Python, and container orchestration skills are essential.