| Urgent Requirement for Senior Machine Learning Engineer (ML Ops) || Austin, TX - Hybrid || , CARD Only || Priority: High at Austin, Texas, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1012604&uid= From: Garv, Vyze INC [email protected] Reply to: [email protected] Hi, This is Garv. I am working as a Technical Recruiter in VYZE INC. I have a very urgent role. If interested then please send me your resume along with below information. Full Name: Email: Phone: Location: Last 4 Digit SSN No: Relocation: Rate(C2C/1099/W2): Skype Id: Start: Job Description - Job Title: Senior Machine Learning Engineer (ML Ops) LINKEDIN ID, DL AND VISA COPIES ARE MANDATORY Location: Austin, TX - Hybrid Duration: 12+Months MOI: Skype LOCAL CANDIDATES ONLY. Requirement Machine Learning Engineer MLOps We are currently seeking a talented and experienced Machine Learning Engineer in the MLOps space to join their dynamic team on a 12-month contract basis. Skills: Proficiency in Azure cloud services, including AzureML, Azure DevOps, Azure Kubernetes Service (AKS), Azure Databricks, and other relevant Azure services Strong knowledge of machine learning frameworks and tools compatible with Azure and scikit-learn Familiarity with Azure Resource Manager templates and Infrastructure as Code (IaC) Experience with version control systems, particularly Git, and CI/CD pipelines using Azure DevOps Should have implemented test automation scripts to validate the deployment process Scripting and coding skills, with proficiency in languages such as Python, PySpark, Power, or Azure CLI Understanding of security and compliance standards within the Azure ecosystem Should have an Azure MLOps project Should have worked on projects using Agile/SAFe methodology Responsibilities: Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance Configure and manage Azure cloud resources to support machine learning workloads efficiently Collaborate with Azure administrators to ensure scalable and reliable infrastructure for MLOps Implement Azure-based deployment pipelines for deploying machine learning models into production environments Implement test automation script to monitor & validate the deployment process Best Regards Garv Chauhan Technical Recruiter | VYZE INC. 25179 Methley Plum Place, Aldie, VA 20105 Email: [email protected] Phone: +1 7575204204 Keywords: continuous integration continuous deployment machine learning access management card wtwo Idaho Texas Virginia http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1012604&uid= |
| [email protected] View All |
| 01:09 AM 13-Jan-24 |