| High Priority Position: Machine Learning (ML) Engineer (Model Ops) 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=2045798&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 (Model Ops ) Location: Seattle, WA || Hybrid Duration: 6 9 months Need strong Machine Learning (ML) Engineer (Model Ops ) with Datadog, Databricks, WhyLabs , Azure CosmosDB, MLOps, Python/SQL, Splunk, Azure Kubernetes Service (AKS), BI tools 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 We are looking for someone to help us keep our machine learning models running smoothly in production. Your job will be to monitor for issues like model drift and data drift, ensure models stay accurate, and integrate tools like WhyLabs, Splunk, and Datadog What You Will Do Monitor machine learning models for issues like data/model drift Set up tools like WhyLabs, Splunk, and Datadog to track model performance Work on the full lifecycle of models, including deployment, monitoring, and retraining Help improve how we manage and monitor data pipelines Collaborate with the team to make sure models stay accurate and useful What We are Looking For Experience monitoring machine learning models in production Knowledge of tools like WhyLabs, Splunk, and Datadog Familiarity with AKS and Databricks Understanding of how data moves through systems and how to keep it reliable Comfortable with Python or SQL for debugging and building workflows Understanding of MLOps best practices. Experience with cloud tools like Azure Cosmos DB Familiarity with integrating models into BI tools for reporting. 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 business intelligence database information technology green card North Carolina Washington High Priority Position: Machine Learning (ML) Engineer (Model Ops) at WA || Hybrid role [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2045798&uid= |
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| 07:49 PM 02-Jan-25 |