AWS Cloud Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Cloud Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include AWS services (Bedrock, SageMaker, ECS, Lambda), Python, Golang, and ML frameworks. A Ph.D. in AI/ML/Data Science is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 19, 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
United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #PyTorch #SageMaker #Transformers #Datasets #Golang #Lambda (AWS Lambda) #ML (Machine Learning) #TensorFlow #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Python #Cloud #Data Science #Langchain
Role description
Must Have Skills:
• AWS services- Bedrock, SageMaker, ECS and Lambda
• Demonstrated contributions to open-source AI/ML/Cloud projects
• Demonstrated proficiency in Python and Golang coding languages
• Experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain
• LLM
• Ph.D. in AI/ML/Data Science
Job Description:
• 10+ years of proven software engineering experience with a strong focus on Python and GoLang and/or Node.js.
• Demonstrated contributions to open-source AI/ML/Cloud projects, with either merged pull requests or public repos showing real usage (forks, stars, or clones).
• Direct, hands-on development of RAG, semantic search, or LLM-augmented applications, using frameworks and ML tooling like Transformers, PyTorch, TensorFlow, and LangChain—not just experimentation in a notebook.
• Ph.D. in AI/ML/Data Science and/or named inventor on pending or granted patents in machine learning or artificial intelligence.
• Deep expertise with AWS services, especially Bedrock, SageMaker, ECS, and Lambda.
• Proven experience fine-tuning large language models, building datasets, and deploying ML models to production.
• Demonstrated success delivering production-ready software with release pipeline integration.
Must Have Skills:
• AWS services- Bedrock, SageMaker, ECS and Lambda
• Demonstrated contributions to open-source AI/ML/Cloud projects
• Demonstrated proficiency in Python and Golang coding languages
• Experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain
• LLM
• Ph.D. in AI/ML/Data Science
Job Description:
• 10+ years of proven software engineering experience with a strong focus on Python and GoLang and/or Node.js.
• Demonstrated contributions to open-source AI/ML/Cloud projects, with either merged pull requests or public repos showing real usage (forks, stars, or clones).
• Direct, hands-on development of RAG, semantic search, or LLM-augmented applications, using frameworks and ML tooling like Transformers, PyTorch, TensorFlow, and LangChain—not just experimentation in a notebook.
• Ph.D. in AI/ML/Data Science and/or named inventor on pending or granted patents in machine learning or artificial intelligence.
• Deep expertise with AWS services, especially Bedrock, SageMaker, ECS, and Lambda.
• Proven experience fine-tuning large language models, building datasets, and deploying ML models to production.
• Demonstrated success delivering production-ready software with release pipeline integration.
