drjobs
Role Site Reliability Engineer With Machine Learning
drjobs
Role Site Reliabilit....
smart folks inc
drjobs Role Site Reliability Engineer With Machine Learning العربية

Role Site Reliability Engineer With Machine Learning

Employer Active

1 Vacancy
The job posting is outdated and position may be filled
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs

Job Location

drjobs

Austin - USA

Monthly Salary

drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Role : Site Reliability Engineer With Machine Learning

Location : Austin TX (Day one Onsite)

Good experience in SRE with ML Ops ML Flows & very good at Scripting is required.

Job description:

The ideal candidate would be the person who had experience on Kubernetes Machine Learning workflows (preferably Amazon Sagemaker) Python scripting Rubix. The person should have experience in Jupyter Notebooks as SRE

  • Successful candidate will several years of experience in supporting large enterprise system with at least 10 different upstream and downstream systems. Identifying issues from Splunk logs.
  • Technically sound in AWS Kubernetes and Python basic SQL ML Ops knowledge like MLFlow is a plus.
  • Answering/Fixing support issues for DatalaLab.
  • Implement and maintain Infra as Code and Build pipeline.
  • Taking measures to minimize oncall incidents.
  • Post incident reviews
  • Work with dev teams to ensure that the new features meet the reliability and performance goals.
  • Ability to work with geographically distributed teams in India and SCV

Regards
Bharath

Employment Type

Full Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.