| High Priority Position: Machine Learning (ML) Engineer (Unity Catalog) at WA || Hybrid role at Seattle, Washington, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2041970&uid= Dear Professional, Hope you are doing great today... This is BABU, BDM FROM PANTAR SOLUTIONS INC, we are an Information Technology and Business Consulting firm specializing in Project-based Solutions and Professional Staffing Services. Please have a look at below position which is with our Client and let me know your interest ASAP. I would really appreciate if you could send me your MOST RECENT UPDATED RESUME: Machine Learning (ML) Engineer ( Unity Catalog ) Location: Seattle, WA || Hybrid Duration: 6 9 months Need strong Machine Learning (ML) Engineer ( Unity Catalog ) with Databricks, ETL, Azure CosmosDB, Azure Container Registry (ACR), Python, Spark, Splunk, Azure Kubernetes Service (AKS) Exp. Consultant LinkedIn profile must have been created before 2018 Need 8-10 +yrs of IT Exp. Profiles || Need Passport number, I94, Travel History documents during submission for TN1/H1/GC EAD/GC ML Engineer Unity Catalog (2) We are looking for an ML engineer with expertise in Unity Catalog and Feature Store in Databricks to help us build and maintain a solid foundation for our data and machine learning workflows. You will work on organizing data, managing access, and enabling machine learning models to operate efficiently in production What You Will Do - Set up and manage Unity Catalog in Databricks to organize and secure data access across teams Design and operationalize Feature Stores to support machine learning models in production Build efficient data pipelines to process and serve features to ML workflows Collaborate with teams using Databricks, Azure Cosmos DB, and other Azure tools to integrate data solutions Monitor and optimize the performance of pipelines and feature stores What We are Looking For - Strong experience with Unity Catalog in Databricks for managing data assets and access control Hands-on experience working with Databricks Feature Store or similar solutions Knowledge of building and maintaining scalable ETL pipelines in Databricks Familiarity with Azure tools like Azure Cosmos DB and ACR Understanding of machine learning workflows and how feature stores fit into the pipeline Strong problem-solving skills and a collaborative mindset Proficiency in Python and Spark for data engineering tasks Experience with monitoring tools like Splunk or Datadog to ensure system reliability Familiarity with AKS for deploying and managing containers PLEASE NOTE: If for any reason this does not interest you or you felt uncomfortable by any part of this email, I sincerely apologize. Please consider this E-mail as a request for referrals and feel free in forward this email to anyone whom you might find a fit. Thanks & Regards, Babu Pantar Solutions Inc 1908 Cox Rd, Weddington, NC 28104 Email: babu (dot) s (at) pantarsolutions (dot) com Keywords: machine learning database information technology green card North Carolina Washington High Priority Position: Machine Learning (ML) Engineer (Unity Catalog) at WA || Hybrid role [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2041970&uid= |
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| 08:49 PM 27-Dec-24 |