GBGTechnology and Operations

Machine Learning Engineer (4023)

Kuala Lumpuronsitemid

Posted 2mo ago · via Workable

See if I'm a fit →Tailor my resume for this role →Apply on Workable ↗

About this role

Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role Global Fraud Solutions The team provides decision support solutions to address business objectives in risk prevention and fraud detection.…

Read the full description on GBG'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.

Skills match

For this role: aws, azure, gcp, sagemaker, kubernetes…

Level fit

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

Domain experience

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

Recency

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

Location fit

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

Score yourself on this role.

Free · no card · written explanation included

See if I'm a fit →

Skills in this role

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

awsazuregcpsagemakerkubernetesdockermlflowvertex aiteams

More at GBG

See all open jobs at GBG →