| P Certified MLOps Infrastructure Engineer :: Location : 100% Remote at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2079782&uid= Role: P Certified MLOps Infrastructure Engineer Location : 100% Remote Position type : Contract Project Duration : Long Term Detailed JD : We are seeking a highly skilled P MLOps Infrastructure Engineer to join our team on a long-term contract basis. The ideal candidate will have a strong background in building and maintaining MLOps infrastructure, with experience in helping customers transition from AWS to P. Proficiency in GitHub Runners and Terraform is highly desirable. This role is primarily remote, with a preference for candidates located in the US, ideally within CST or PST time zones, though EST will also be considered. Key Responsibilities: Design, implement, and manage MLOps infrastructure on Google Cloud Platform (P). Collaborate with data scientists and engineers to streamline the deployment of machine learning models in production environments. Assist customers in migrating MLOps workflows from AWS to P, ensuring minimal disruption and optimal performance. Develop and maintain infrastructure as code using Terraform to manage and provision P resources. Implement CI/CD pipelines using GitHub Runners to automate the testing, deployment, and monitoring of machine learning models. Optimize and scale P infrastructure to meet the growing needs of machine learning operations. Ensure best practices in security, scalability, and compliance across the MLOps infrastructure. Qualifications: Proven experience as an MLOps Engineer or similar role, with a focus on P. Experience in migrating infrastructure and workflows from AWS to P. Strong expertise in Terraform for infrastructure provisioning and management. Proficiency with GitHub Runners for CI/CD pipeline automation. Solid understanding of P services, including AI/ML tools, Compute Engine, Kubernetes Engine, and Cloud Storage. Experience with containerization technologies like Docker and orchestration tools such as Kubernetes. Strong problem-solving skills and the ability to work independently in a fast-paced, remote environment. Excellent communication and collaboration skills. Preferred Qualifications: Experience with other infrastructure automation tools and scripting languages (e.g., Python, Bash). Familiarity with monitoring and logging tools (e.g., Stackdriver, Prometheus, Grafana) in P environments. Certification in Google Cloud (e.g., Professional Data Engineer, Professional Cloud Architect) is a plus. Contract Details: Duration: Long-term contract Location: Remote, with a preference for candidates in CST or PST time zones; EST candidates will also be considered. If you are a proactive MLOps professional with a passion for cloud technologies and a knack for solving complex problems, we would love to hear from you. Join us in driving innovation and excellence in machine learning operations! Looking forward to work with you! Thanks & Regards Lokesh Yadav Sr. Technical Recruiter 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 Texas P Certified MLOps Infrastructure Engineer :: Location : 100% Remote [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2079782&uid= |
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| 11:19 PM 14-Jan-25 |