Russell Tobin

ML ( Machine Learning ) Engineers with Model Ops

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ML Engineer with Model Ops in Seattle, WA, for 12+ months at $55-$60/hr. Key skills include monitoring machine learning models, familiarity with WhyLabs, Splunk, Datadog, and experience with Python, SQL, and MLOps best practices.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
October 28, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#Deployment #BI (Business Intelligence) #Data Pipeline #Azure #Cloud #Datadog #Python #ML (Machine Learning) #Splunk #SQL (Structured Query Language) #Azure Cosmos DB #Databricks #Monitoring #Debugging
Role description
What are we looking for in our ML ( Machine Learning ) Engineers with Model Ops? Title: ML (Machine Learning) Engineer with Model Ops Location: Seattle, WA Duration: 12+ Months Pay Rate: $55/hr. - $60/hr. ML Engineer - Model Ops Looking for experience with Model Drift, Data Drift, and Model Monitoring. (this is a Model Ops Position – anything to do with the Model Lifecycle, all the monitoring capabilities are included here – Data Ops is also included) In this space we are looking to integrate with WhyLabs 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. Russell Tobin (Pride Global) offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors.