AI Developer - Hybrid, IL - USC / GC
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Developer with a 6-month contract, offering a pay rate of "$X/hr". It requires 5+ years in application design, strong AWS cloud experience, and proficiency in AI solutions using AWS services. Remote work in IL, USC/GC required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 3, 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
Illinois, United States
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🧠 - Skills detailed
#Deep Learning #REST API #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #AWS SageMaker #AWS (Amazon Web Services) #Python #Consulting #REST (Representational State Transfer) #Programming #Cloud #SageMaker
Role description
Interview process: 1 round with their architect. 2nd round IF needed.
Desired Skill set:
• 5+ years of design, implementation, or consulting in applications and infrastructures experience
• Strong familiarity with AWS cloud services.
• 3+ years of experience in various phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using AWS technologies.
• Experience in implementing AI/Generative AI solutions using AWS Sagemaker, AWS Bedrock and other AI services like AWS Transcribe, AWS Textract, AWS Kendra, AWS Translate and AWS Rekognition, etc.
• Demonstrated understanding of prompt engineering and application of it to mentioned use cases.
· Evaluate LLM outputs for hallucination, toxicity, bias, and factual correctness.
· Implement context caching and memory management patterns to implement well performing applications.
• Coding experience in implementing solutions using various AWS Services.
• Proficiency in programming languages such as Python and NodeJS preferred.
• Proficiency in creating and using REST APIs.
Interview process: 1 round with their architect. 2nd round IF needed.
Desired Skill set:
• 5+ years of design, implementation, or consulting in applications and infrastructures experience
• Strong familiarity with AWS cloud services.
• 3+ years of experience in various phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using AWS technologies.
• Experience in implementing AI/Generative AI solutions using AWS Sagemaker, AWS Bedrock and other AI services like AWS Transcribe, AWS Textract, AWS Kendra, AWS Translate and AWS Rekognition, etc.
• Demonstrated understanding of prompt engineering and application of it to mentioned use cases.
· Evaluate LLM outputs for hallucination, toxicity, bias, and factual correctness.
· Implement context caching and memory management patterns to implement well performing applications.
• Coding experience in implementing solutions using various AWS Services.
• Proficiency in programming languages such as Python and NodeJS preferred.
• Proficiency in creating and using REST APIs.
