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Xcellink PteTalent Placement

Machine Learning Engineer (AL-FNC250910 005/01)

Singaporeonsitemid

Posted 13mo ago · via Workable

About this role

We are looking for an ML Engineer to develop and scale our AI platform, build robust ML pipelines, and enable the deployment of AI workloads. What You Will Be Working On Design, build, and maintain scalable ML infrastructure using tools like Kubeflow, MLflow, and RunAI. Automate the setup and management of ML environments and pipelines to ensure consistency and reliability. Ensure automated testing and validation of AI/ML models before deployment. Monitor model performance and health, using tools for logging, monitoring, and alerting. Implement strategies for model retraining and updating based on performance metrics. Collaborate with data scientists, engineers, and stakeholders to translate requirements into scalable ML solutions.…

Read the full description on Xcellink Pte's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: javascript, python, kubernetes, docker, mlflow…

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Singapore. We weight your proximity and willingness to relocate.

Score yourself on this role.
Free · no card · written explanation included
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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

javascriptpythonkubernetesdockermlflowkubeflow

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