Ampstek
AI/ML Data Engineer (Only USC and W2 on W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Data Engineer with 8 years of experience, focusing on Python, .NET, and Azure Open AI. The contract is remote in Redmond, WA, with a pay rate of "TBD." Key skills include ML libraries and cloud data services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 24, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Azure #ADF (Azure Data Factory) #Model Validation #ML (Machine Learning) #TensorFlow #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Data Engineering #GCP (Google Cloud Platform) #AWS Glue #Libraries #Databricks #Cloud #Python #Synapse #Deployment #Azure Data Factory #.Net
Role description
Job title: AI/ML Data Engineer
Work Location: Redmond WA (remote)
Minimum years of experience: 8 years
Must Have Skills (TOP 3 SKILLS) –
Python, .NET, Azure Open AI, Modern Azure Services
Job Description
Strong foundation in Python, .NET, Azure Open AI and modern Azure Services
Experience with ML libraries (scikit-learn, TensorFlow, ML.NET, Azure ML, etc.).
Understanding of machine learning lifecycle: data prep → training → evaluation → deployment.
Knowledge of statistical methods, model validation, and experiment design.
Familiarity with cloud data services (Azure Data Factory, Synapse, Databricks, AWS Glue, GCP Big Query).
Ability to design clean, maintainable data structures and pipelines.
Strong problem-solving, analytical thinking, and communication skills.
Thanks and regards
Paul
paul@ampstek.com
Job title: AI/ML Data Engineer
Work Location: Redmond WA (remote)
Minimum years of experience: 8 years
Must Have Skills (TOP 3 SKILLS) –
Python, .NET, Azure Open AI, Modern Azure Services
Job Description
Strong foundation in Python, .NET, Azure Open AI and modern Azure Services
Experience with ML libraries (scikit-learn, TensorFlow, ML.NET, Azure ML, etc.).
Understanding of machine learning lifecycle: data prep → training → evaluation → deployment.
Knowledge of statistical methods, model validation, and experiment design.
Familiarity with cloud data services (Azure Data Factory, Synapse, Databricks, AWS Glue, GCP Big Query).
Ability to design clean, maintainable data structures and pipelines.
Strong problem-solving, analytical thinking, and communication skills.
Thanks and regards
Paul
paul@ampstek.com
