DATAEXL INFORMATION LLC
Overview
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 3-5 years of experience writing and deploying production quality AI models. Strong hands-on Python programming experience. Strong experience in AWS including services such as Bedrock, S3, Lambda, SageMaker. Hands-on technical experience with extensive background in deep learning networks. In-depth experience in Natural Language Processing (NLP), with a particular emphasis on Large Language Models (LLMs) and Transformer architectures 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. Knowledge of model adaptation techniques such as RAG, fine tuning, LoRA, feature engineering, etc. Proficient knowledge of NLP techniques, including tokenization, language modeling, and embeddings Experience in data preprocessing, including both structured and unstructured data, for serving AI models. Strong experience in model fine tuning and performance evaluation Experience in developing Gen AI applications using LangChain or LlamaIndex Library preferred. Familiarity with database management systems, such as Pinecone, Weaviate DB, vector search algorithms, and LLM embedding layers preferred. 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.
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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 3-5 years of experience writing and deploying production quality AI models. Strong hands-on Python programming experience. Strong experience in AWS including services such as Bedrock, S3, Lambda, SageMaker. Hands-on technical experience with extensive background in deep learning networks. In-depth experience in Natural Language Processing (NLP), with a particular emphasis on Large Language Models (LLMs) and Transformer architectures 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. Knowledge of model adaptation techniques such as RAG, fine tuning, LoRA, feature engineering, etc. Proficient knowledge of NLP techniques, including tokenization, language modeling, and embeddings Experience in data preprocessing, including both structured and unstructured data, for serving AI models. Strong experience in model fine tuning and performance evaluation Experience in developing Gen AI applications using LangChain or LlamaIndex Library preferred. Familiarity with database management systems, such as Pinecone, Weaviate DB, vector search algorithms, and LLM embedding layers preferred. 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.
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