About this role
Design, implement, and maintain end-to-end MLOps pipelines on AWS to support machine learning solutions across manufacturing and analytics platforms. Collaborate with ML engineers to automate workflows, monitor model performance, and manage infrastructure for high-stakes applications.
Requires a Bachelor's or Master's degree in a technical field and 3–5 years of experience in MLOps, DevOps, or cloud engineering. Candidates must possess deep expertise in AWS services, containerization, and infrastructure as code tools.
What they're looking for
MLOpsAWSSageMakerPythonTerraformCI/CDDockerKubernetes
Frequently asked questions
What does a Senior MLOps Engineer – AWS-Focused ML Infrastructure at Keysight Technologies, Inc. do?
Design, implement, and maintain end-to-end MLOps pipelines on AWS to support machine learning solutions across manufacturing and analytics platforms. Collaborate with ML engineers to automate workflows, monitor model performance, and manage infrastructure for high-stakes applications. Requires a Bac…
What skills does this Senior MLOps Engineer – AWS-Focused ML Infrastructure role need?
Key skills for this role include MLOps, AWS, SageMaker, Python, Terraform, CI/CD.
How much does a Senior MLOps Engineer – AWS-Focused ML Infrastructure at Keysight Technologies, Inc. pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Senior MLOps Engineer – AWS-Focused ML Infrastructure role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Senior MLOps Engineer – AWS-Focused ML Infrastructure role?
You can apply directly on Keysight Technologies, Inc.'s careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.