AI Engineer / LLM / RAG
Chicago, Illinois
Hybrid
Contract
$60/hr - $80/hr
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 utilize 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
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 programing custome RAG appications 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).
- 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.
You will receive the following benefits:
- Medical Insurance - Four medical plans to choose from for you and your family
- Dental & Orthodontia Benefits
- Vision Benefits
- Health Savings Account (HSA)
- Health and Dependent Care Flexible Spending Accounts
- Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
- Hospital Indemnity Insurance
- 401(k) including match with pre and post-tax options
- Paid Sick Time Leave
- Legal and Identity Protection Plans
- Pre-tax Commuter Benefit
- 529 College Saver Plan
Motion Recruitment Partners (MRP) is an Equal Opportunity Employer, including Veterans/Disability/Women. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.