| Machine Learning Operations Engineer (MLOps) :: Location : Philadelphia, PA or Wilmington, DE (Hybrid) at Philadelphia, Pennsylvania, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1727651&uid= Role: Machine Learning Operations Engineer (MLOps) Location : Philadelphia, PA or Wilmington, DE (Hybrid) Position type : Contract Project Duration : Long Term Visa :, , - & only Detailed JD : Take the lead on ML deployment system spanning multiple product environments and research effective strategies. Improve, expand, and streamline our existing deployment pipelines to make the deployments faster and automated model retraining. Collaborate with Data Scientists to understand model requirements and help ensure a seamless integration with production environments Develop automations that help the data scientists to self-serve, remove manual steps from our processes, and streamline their training processes Build and maintain production level inference environments, including low latency realtime APIs and batch predictions, and monitor them to ensure we conform to our SLAs regarding uptime, resiliency, and latency Work with modern CI/CD tools to help deploy ML/AI models at scale in a production se=ng. Required Skills: 5+ years of engineering experience Experience in operationalization of Data Science projects (MLOps) on AWS, experience with EKS, Lambda, Step Functions and Sagemaker Experience designing, building and operating container-based cloud infrastructure with Terraform and other infrastructure-as-code tools in a production setting Experience in CI/CD pipeline implementation; experience with ArgoCD, Argo Workflows and Github Actions Proficiency in Python used both for ML and general software engineering tasks. Good knowledge of Bash and Unix command line toolkit Extensive knowledge of the machine learning development lifecycle and associated tooling; demonstrated experience with Metaflow, Flyte, Kubeflow, etc. Demonstrated experience building production-grade, RESTful APIs for ML products; experience building data scientist tooling a plus Ability to work in a fast-paced environment and good technical communication skills Looking forward to work with you! Thanks & Regards Lokesh Yadav Sr. Technical Recruter CloudThink Tech Inc E: [email protected] Website: https://cloudthinktech.com/ LinkedIn: https://www.linkedin.com/in/lokesh-yadav-35941b223/ Address: 10301 Northwest FWY STE 314, Houston TX, 77092 An E-Verify Company !! Please consider the environment before printing this e-mail. DISCLAIMER The information in this e-mail is confidential and may be legally privileged. It is intended solely for the addressee. Access to this e-mail by anyone else is unauthorized. If you have received this communication in error, please notify the sender and delete the e-mail and destroy any copies of it. If you are not the intended recipient, any disclosure, copying, distribution or any action taken or omitted to be taken in reliance on it, is prohibited and may be unlawful. Any opinions or advice contained in this e-mail are subject to the terms and conditions expressed in the governing Cloud Think Technologies client engagement letter. Opinions, conclusions and other information in this e-mail and any attachments that do not relate to the official business of the firm are neither given nor endorsed by it. Cloud Think Technologies cannot guarantee that e-mail communications are secure or error-free, as information could be intercepted, corrupted, amended, lost, destroyed, -- Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology card Delaware Pennsylvania Texas Machine Learning Operations Engineer (MLOps) :: Location : Philadelphia, PA or Wilmington, DE (Hybrid) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1727651&uid= |
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| 08:17 PM 06-Sep-24 |