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Machine Learning Data Engineer

This role is for a Machine Learning Data Engineer with 5-7 years of experience, focusing on Azure Databricks, Snowflake, Python, and SQL. The contract is for "X months" at a pay rate of "$X/hour" and is remote.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 11, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Compliance #Deployment #Azure #Python #Databricks #ML (Machine Learning) #Data Pipeline #Monitoring #Model Deployment #Scala #Security #Project Management #Data Engineering #SQL (Structured Query Language) #Snowflake #Azure Databricks #Data Science
Role description
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We’re looking for a Machine Learning Ops Engineer with Azure Databricks expertise to help deploy models, implement CI/CD best practices, and set up data and model monitoring. If you have a strong background in Snowflake, Python, and SQL, along with some project management experience

What You’ll Do:
• Deploy Machine Learning models in Azure Databricks
• Build CI/CD pipelines for automated deployment
• Set up data and model monitoring for performance tracking
• Work with Data Scientists, Engineers, and PMs to deliver scalable solutions
• Optimize data pipelines and workflows
• Ensure security, compliance, and best practices

What You Bring:
• 5-7 years as a Machine Learning Data Engineer
• Hands-on experience with Azure, Databricks, Snowflake, Python, and SQL
• Proven track record in model deployment & CI/CD
• Experience with data/model monitoring
• Strong project management skills