AI/Python Developer Onsite
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/Python Developer with a contract length of "unknown," offering a pay rate of "unknown." It requires expertise in Python, Azure, GCP, and big data technologies, along with experience in AI/ML model deployment and data pipeline automation.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 29, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Scottsdale, AZ
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🧠 - Skills detailed
#Angular #"ETL (Extract #Transform #Load)" #Storage #Programming #Automation #AI (Artificial Intelligence) #Data Storage #Data Processing #.Net #Data Mining #Datasets #Deployment #Python #GCP (Google Cloud Platform) #ML (Machine Learning) #C# #Data Pipeline #SQL Server #Cloud #Big Data #Azure #SQL (Structured Query Language) #Data Ingestion
Role description
• Collecting, processing, and analyzing large datasets using Python programming language on Azure and GCP platforms
• Building and deploying AI/ML models using popular Python frameworks and tools on Azure and GCP cloud services
• Applying statistical analysis and data mining techniques to extract insights from data
• Working with big data technologies on Azure and GCP for data processing and analysis
• Utilizing cloud services on Azure and GCP for data storage, computation, and deployment of AI/ML solutions
• Implementing data pipelines and automation processes for data ingestion and transformation on Azure and GCP"
• C# .NET, ASP.NET front end, WCF services, SQL server backend, Angular
• Collaborating with business stakeholders to understand their requirements and translate them into AI/ML-driven solutions
• Communicating complex technical concepts related to AI/ML to non-technical audiences
• Collecting, processing, and analyzing large datasets using Python programming language on Azure and GCP platforms
• Building and deploying AI/ML models using popular Python frameworks and tools on Azure and GCP cloud services
• Applying statistical analysis and data mining techniques to extract insights from data
• Working with big data technologies on Azure and GCP for data processing and analysis
• Utilizing cloud services on Azure and GCP for data storage, computation, and deployment of AI/ML solutions
• Implementing data pipelines and automation processes for data ingestion and transformation on Azure and GCP"
• C# .NET, ASP.NET front end, WCF services, SQL server backend, Angular
• Collaborating with business stakeholders to understand their requirements and translate them into AI/ML-driven solutions
• Communicating complex technical concepts related to AI/ML to non-technical audiences
