Axiom Global Technologies
AWS Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Scientist on a contract basis, focusing on advanced forecasting models and AI solutions. Key skills include Python, SQL, and AWS tools like S3 and Redshift. Experience in MLOps and cloud optimization is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 25, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Redshift #Deployment #Cloud #Scala #ML (Machine Learning) #Data Processing #Monitoring #SQL (Structured Query Language) #S3 (Amazon Simple Storage Service) #Time Series #Python #Data Science #AWS (Amazon Web Services) #Forecasting #AI (Artificial Intelligence)
Role description
We’re looking for a hands-on expert to build intelligent forecasting solutions by combining Machine Learning and Generative AI.
What you’ll do:
• Develop advanced forecasting models using time series and predictive techniques
• Leverage LLMs for use cases like scenario simulation, feature enhancement, and insight generation
• Build scalable data and AI pipelines from ingestion to deployment
• Work with AWS tools including S3, Redshift, and Bedrock for GenAI integration
• Implement MLOps practices such as CI/CD, model lifecycle management, and monitoring
• Use Python and SQL for data processing, modeling, and analytics
• Partner with business teams to deliver data-driven and AI-powered solutions
• Ensure performance, scalability, and cost optimization in cloud environments
We’re looking for a hands-on expert to build intelligent forecasting solutions by combining Machine Learning and Generative AI.
What you’ll do:
• Develop advanced forecasting models using time series and predictive techniques
• Leverage LLMs for use cases like scenario simulation, feature enhancement, and insight generation
• Build scalable data and AI pipelines from ingestion to deployment
• Work with AWS tools including S3, Redshift, and Bedrock for GenAI integration
• Implement MLOps practices such as CI/CD, model lifecycle management, and monitoring
• Use Python and SQL for data processing, modeling, and analytics
• Partner with business teams to deliver data-driven and AI-powered solutions
• Ensure performance, scalability, and cost optimization in cloud environments
