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full-time
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Senior (devops) Machine Learning Engineer

Servicenow · Santa Clara, us

Servicenow provides cloud‑based IT service management platforms that help organizations automate workflows and improve service delivery. In this senior role you would be expected to design, build and maintain the infrastructure that supports machine learning workloads, from data ingestion and feature stores to model training, validation and deployment. Day‑to‑day tasks include writing CI/CD pipelines that automate model releases, configuring container orchestration with Kubernetes, managing cloud resources on platforms such as AWS or Azure, and applying infrastructure‑as‑code tools like Terraform to ensure reproducible environments. You would collaborate closely with data scientists to translate research prototypes into production‑ready services, monitor model performance and drift, and implement scaling strategies to meet latency and reliability requirements. The position suits engineers with strong software‑development skills in Python, solid experience in DevOps or MLOps practices, familiarity with cloud services and container technologies, and a track record of delivering scalable ML systems in enterprise settings.

senior machine learning engineerdevopsmlopscloud infrastructureci/cd pipelinesmodel deploymentpython programmingkubernetes

Education

  • Level: Bachelor's degree

RoleSenior (devops) Machine Learning Engineer
CompanyServicenow
LocationSanta Clara, us
Typefull-time
CompensationNot disclosed
Posted2026-10-01
DeadlineRolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

  1. 1ApplicationSubmit your resume through the apply link.
  2. 2ScreeningRecruiter reviews your background against the role.
  3. 3AssessmentA technical test, assignment, or coding round, depending on the role.
  4. 4Interview(s)One or more rounds with the hiring team.
  5. 5OfferOffer letter with compensation and start date.

Before you apply

0/4

Senior (devops) Machine Learning Engineer at Servicenow: frequently asked questions

Who can apply for the Senior (devops) Machine Learning Engineer role at Servicenow?
The listing asks for Bachelor's degree; freshers are welcome.
What is the salary for this role?
Servicenow has not stated compensation in the listing. Check the original posting or ask during the application process.
Is the Senior (devops) Machine Learning Engineer position remote, hybrid or onsite?
The listing gives Santa Clara, us as the location and does not state a work mode.
What is the application deadline?
Servicenow has not listed a fixed deadline, so apply early in case the opening is filled.
How do I apply for the Senior (devops) Machine Learning Engineer role?
Use the Apply button on this page. It opens the original listing on jobs.smartrecruiters.com, where you submit your application with the company.

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