Site Reliability Engineer With Machine Learning
Posted on :
22-02-2024
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
22-02-2024
Job Description
Req ID : 2566857
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
- Documenting the issue resolution and the undocumented knowledge
- 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
- Excellent problemsolving skills and decision making skills about when to engage other team members.
Employment Type
Full Time
Key Skills
- Kubernetes
- FMEA
- Continuous Improvement
- Elasticsearch
- Go
- Root cause Analysis
- Maximo
- CMMS
- Maintenance
- Mechanical Engineering
- Manufacturing
- Troubleshooting
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.
