AWS AI/ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 9, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#Lambda (AWS Lambda) #Programming #Deep Learning #Python #"ETL (Extract #Transform #Load)" #Langchain #S3 (Amazon Simple Storage Service) #Database Management #AWS (Amazon Web Services) #NLP (Natural Language Processing) #AI (Artificial Intelligence) #ML (Machine Learning) #SageMaker
Role description
Hello Folks, Hope you are well. This is a 100% onsite and W2 contract position. C2C/1099 Not considerable. Job Title: AWS AI/ML Engineer Location : Cincinnati, OH (5 Days onsite a week) Duration: Long Term Contract Technical Requirements: β€’ 3-5 years of experience writing and deploying production quality AI models. β€’ Strong hands-on Python programming experience. β€’ Strong experience in AWS including services such as Bedrock, S3, Lambda, SageMaker. β€’ Hands-on technical experience with extensive background in deep learning networks. β€’ In-depth experience in Natural Language Processing (NLP), with a particular emphasis on Large Language Models (LLMs) and Transformer architectures β€’ Strong innovator who understands the nuances of large language models and in-depth hands-on experience working with Amazon Bedrock and foundational LLMs like Claude 3 Sonnet, GPT, LLAMA, Transformer-based architectures or other GPT variants. β€’ Knowledge of model adaptation techniques such as RAG, fine tuning, LoRA, feature engineering, etc. β€’ Proficient knowledge of NLP techniques, including tokenization, language modeling, and embeddings β€’ Experience in data preprocessing, including both structured and unstructured data, for serving AI models. β€’ Strong experience in model fine tuning and performance evaluation β€’ Experience in developing Gen AI applications using LangChain or LlamaIndex Library preferred. β€’ Familiarity with database management systems, such as Pinecone, Weaviate DB, vector search algorithms, and LLM embedding layers preferred. β€’ Published research in the NLP field is highly desirable but not specifically required, indicating an ability to not only understand but also contribute to cutting-edge research.