Nexify Infosystems
AI Engineer with Strong Expertise in Python
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer with 7+ years of AI/ML development experience, strong Python expertise, and hands-on skills in AWS SageMaker and Bedrock. It offers a 3-month remote contract with a possible extension.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 24, 2025
🕒 - Duration
3 to 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#AWS SageMaker #AWS (Amazon Web Services) #Scala #Python #ML (Machine Learning) #AI (Artificial Intelligence) #SageMaker #Data Science
Role description
Job Title: AI Engineer with strong expertise in Python
Location: Remote - US/Canada
Duration: 3 Months contract with Possible extension
Experience: 7+ years in AI/ML development with strong Python expertise.
Job Description:
We are seeking a skilled AI Engineer with strong expertise in Python and experience in building, training, and deploying AI/ML models using AWS SageMaker and Bedrock. The ideal candidate will work closely with data scientists and developers to design intelligent solutions and optimize model performance.
Key Skills & Responsibilities:
• Develop, train, and deploy machine learning models using Python.
• Hands-on experience with AWS SageMaker and Bedrock for AI/ML workflows.
• Implement scalable and efficient AI pipelines and APIs.
• Collaborate with cross-functional teams to integrate AI solutions into production systems.
• Experience with Agent writing and prompt engineering.
• Familiarity with MCP (Model Context Protocol) is a nice to have.
Job Title: AI Engineer with strong expertise in Python
Location: Remote - US/Canada
Duration: 3 Months contract with Possible extension
Experience: 7+ years in AI/ML development with strong Python expertise.
Job Description:
We are seeking a skilled AI Engineer with strong expertise in Python and experience in building, training, and deploying AI/ML models using AWS SageMaker and Bedrock. The ideal candidate will work closely with data scientists and developers to design intelligent solutions and optimize model performance.
Key Skills & Responsibilities:
• Develop, train, and deploy machine learning models using Python.
• Hands-on experience with AWS SageMaker and Bedrock for AI/ML workflows.
• Implement scalable and efficient AI pipelines and APIs.
• Collaborate with cross-functional teams to integrate AI solutions into production systems.
• Experience with Agent writing and prompt engineering.
• Familiarity with MCP (Model Context Protocol) is a nice to have.
