Develop, fine-tune, and evaluate generative AI and large language models using AWS frameworks and platforms.
Analyze multimodal datasets (machine telemetry, service data, documentation, unstructured text, and internal knowledge systems) to derive insights and support decision-making.
Design retrieval-augmented generation (RAG), summarization, and recommendation solutions that connect across multiple data sources.
Apply Model Context Protocol (MCP) and design agentic workflows that allow LLMs to interact seamlessly with diverse enterprise systems and autonomously perform multi-step tasks.
Collaborate with cross-functional teams to ensure models can be deployed in cloud-based workflows.
Present research findings, prototypes, and results to technical and business stakeholders.
Requirements
Working towards - B.S., M.S., or PhD. degree in Computer Science, Computer Engineering, or a related field.
Student must be currently enrolled in an accredited college or university or enrolled to continue their education in an accredited graduate program.
Students must have a cumulative GPA of 3.0 or higher.
Students are to successfully complete all required screenings prior to hire.
Currently enrolled student in Data Science, Computer Science, Electrical/Computer Engineering, Applied Mathematics, or a related field.
Strong background in machine learning, natural language processing, and/or deep learning.
Proficiency in Python and modern ML/AI frameworks.
Familiarity with cloud-based machine learning platforms (AWS preferred).
Benefits
Choose from a broad selection of medical, dental, life, and disability insurance options.
Contribute to your financial security with Retirement Savings Plan (401K), Health Savings Account (HSA), and Flexible Spending Account (FSA) investments.
Augment your education with team member tuition assistance programs.
Enjoy paid vacation time and paid holidays annually.
Tap into many other benefits to enhance your health, wellness, and ongoing personal and professional development.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
generative AIlarge language modelsmachine learningnatural language processingdeep learningPythonretrieval-augmented generationsummarizationrecommendation solutionsModel Context Protocol