| :::SRE Engineer(Machine Learning):::100% Remote in the Continental US::6+ months at Continental, Ohio, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=673385&uid= Hi Please find the requirement below, if you find yourself comfortable with the requirement please reply back with your updated resume and I will get back to you or I would really appreciate if you can give me a call back at my contact number 571-371-0777 Position:: SRE Engineer(Machine Learning) Location:: 100% Remote in the Continental US Duration:: 6+ months Interview Mode :: Phone and Skyp e Visa-USC Key to this position: Must have ML (Machine Learning Experience). Needs strong Kubernetes and Docker. Must have experience with Lucene/Solr. Strong skills writing production level code. Strong communication skills. Pro-tip: ETSY Loves people out of these 4 companies (in order): Pinterest, Google, Meta, & Shopify. People out of these companies get the most office. Job Description: The ML SRE team supports the infrastructure and provides a developer-focused, scalable, and reliable infrastructure to develop and deploy ML services seamlessly. Qualifications: About the Role Design, build and support the core infrastructure used by all ML services, including on-call production support rotations. Work cross-functionally with various platform teams, ML teams and product partners to build the next generation of our high availability ML services in the cloud. Build and maintain observability and test tooling - logging, monitoring, distributed tracing, alerting and offline test tools needed. Practice continuous learning and agile delivery model to stay informed and focused on our deliverables. Support GKE services and maintenance that includes software upgrades, performance tuning and GKE cluster tuning and optimization. Build GKE Tooling and automate deployments. About You You have solid engineering and coding skills, data structure knowledge and ability to write high performance production quality code. You have experience working with languages like Java, Scala, Python, Go or other equivalent languages. You are a strong collaborator and communicator and you make the engineers around you grow and learn. You have fundamental experience with infrastructure engineering and strong troubleshooting skills. You have solid background and hands-on experience with Cloud technologies either Google Cloud or AWS. Experience with search technologies such as Lucene/Solr or Elasticsearch is a plus. Experience with supporting ML Services is a plus. Experience with Kubernetes and Docker is a plus. Experience with Unix/Linux operating systems and networking stack (e.g., TCP/IP, routing, network topologies and hardware, SDN) is a plus. Experience with Grafana is a plus. Regards Vishwajeet Singh Technical Recruiter Email: [email protected] Direct: 571-371-0777 * 240 Linkedin::: https://www.linkedin.com/in/vishwajeet-singh-82948488/ RIT Solutions, Inc. Address: 4201 Wilson Blvd. Suite 300, Arlington, VA 22203 Experts in Recruitment and IT Solutions Linkedin Page: https://www.linkedin.com/company/rit-solutions-inc/viewAsMember=true Twitter: @RITSolutionsInc To apply to our open jobs please click on link below Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jspa=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Escalation Queries for urgent attention: [email protected] Note: We respect your Online Privacy. This is not an unsolicited mail. This mail cannot be considered Spam as long as we include Contact information and a method to be removed from our mailing list. If you are not interested in receiving our e-mails then please reply with a " REMOVE " in the subject to [email protected] and escalation query mail id mentioned above. Mention all the e-mail addresses to be removed with any e-mail addresses, which might be diverting the e-mail to you. Keywords: machine learning information technology golang Idaho Virginia http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=673385&uid= |
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| 10:33 PM 22-Sep-23 |