MLOps / AI Infrastructure Engineer

Posted about 2 months ago

or apply directly on Jobgether's site. We never take the application ourselves.

Is this posting real?

This role has been open: 73 days
Reposted: No
Salary listed: No
Ghost-job risk at Jobgether: high
Hiring momentum: 14344 roles opened in the last 90 days
Last confirmed on the employer's board: 2026-11-13

Measured from postings appearing on and disappearing from Jobgether's own lever board since 2026-08-04. Full hiring picture for Jobgether.

About this role

As an MLOps / AI Infrastructure Engineer, you will be responsible for building and operating systems that support production-scale machine learning and generative AI workloads. Your role will involve model deployment, serving architectures, automated ML pipelines, and optimizing cloud resources, particularly GPUs, to ensure efficient support for demanding AI workloads. You will collaborate with data scientists and AI researchers in a dynamic environment, contributing to the reliability and scalability of AI systems.

Our read on this posting2.8out of 5

benefits: 1/5
freshness: 4/5
career value: 5/5
role clarity: 4/5
pay transparency: 0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Jobgether as an employer.

What you need

Experience in building and operating systems for machine learning and generative AI workloads
Strong software engineering skills
Knowledge of cloud infrastructure
Experience with model deployment and serving architectures
Familiarity with automated ML pipelines
Ability to optimize GPU and cloud resources for AI workloads

Worth weighing

Position is listed on behalf of a partner company, which may affect the application process
No specific salary or benefits information provided

Summarised from Jobgether's posting. Read the full original.

Listed by Jobgether on their lever job board, last confirmed open on 2026-11-13. PitchMeAI is not the employer.

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