Motion Recruitment Partners LLC
AI Engineer
Motion Recruitment Partners LLC, Chicago, Illinois, United States, 60290
We’re looking for a Machine Learning Engineer to join a national research organization with a mission to support data-driven decision-making and advance public knowledge across fields such as health, education, economics, and social science. Our team is dedicated to utilizing cutting-edge machine learning (ML) and natural language processing (NLP) technologies to advance public knowledge and policy.
In this role, we're looking for a Machine Learning Engineer with a specialization in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to enhance our capabilities in natural language understanding and generation. This role will focus on fine-tuning and deploying LLMs integrated with RAG approaches to ensure that our models deliver accurate outputs within AWS and Azure environments.Required Skills & Experience
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.3+ years of experience developing and deploying AI/ML solutions on cloud platforms, including AWS and Azure.Experience programming custom RAG applications to enhance capabilities for chatbots, document analysis, and image recognition.Proficiency in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).Hands-on experience with AWS (e.g., Amazon SageMaker, Amazon Rekognition) and Azure AI/ML services (e.g., Azure Cognitive Services).Desired Skills & Experience
Experience with large language models (LLMs), transformer architectures, and fine-tuning for specific applications.Deploy AI/ML models to production environments on AWS and Azure using services like SageMaker Inference and Azure Machine Learning Deployments.Knowledge of cloud infrastructure management, data pipelines, and preprocessing for AI/ML.Familiarity with RAG applications, API integration, Co-pilot tools, and containerization (Docker, Kubernetes).Strong problem-solving skills, with excellent communication and collaboration abilities.Commitment to staying current with AI/ML trends and driving business value through intelligent solutions.
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In this role, we're looking for a Machine Learning Engineer with a specialization in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to enhance our capabilities in natural language understanding and generation. This role will focus on fine-tuning and deploying LLMs integrated with RAG approaches to ensure that our models deliver accurate outputs within AWS and Azure environments.Required Skills & Experience
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.3+ years of experience developing and deploying AI/ML solutions on cloud platforms, including AWS and Azure.Experience programming custom RAG applications to enhance capabilities for chatbots, document analysis, and image recognition.Proficiency in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).Hands-on experience with AWS (e.g., Amazon SageMaker, Amazon Rekognition) and Azure AI/ML services (e.g., Azure Cognitive Services).Desired Skills & Experience
Experience with large language models (LLMs), transformer architectures, and fine-tuning for specific applications.Deploy AI/ML models to production environments on AWS and Azure using services like SageMaker Inference and Azure Machine Learning Deployments.Knowledge of cloud infrastructure management, data pipelines, and preprocessing for AI/ML.Familiarity with RAG applications, API integration, Co-pilot tools, and containerization (Docker, Kubernetes).Strong problem-solving skills, with excellent communication and collaboration abilities.Commitment to staying current with AI/ML trends and driving business value through intelligent solutions.
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