Amazon

Support Engineer - Intelligent Document Processing, CORS - Rapid Solutions

Job Description

We are seeking talented and innovative Support Engineer to join our team working at the intersection of artificial intelligence and compliance. In this role, you will leverage large language models (LLMs) and other advanced machine learning techniques to develop and maintain automated systems for validating compliance documents.

Key job responsibilities
• Implement and fine-tune large language models to accurately process and analyze complex compliance documentation
• Develop and optimize machine learning algorithms for automated document validation and anomaly detection
• Collaborate with compliance experts to translate regulatory requirements into AI-driven validation processes
• Troubleshoot and resolve issues related to the AI-powered compliance validation system
• Stay up-to-date with the latest advancements in NLP, LLMs, and AI to continually improve our validation processes
• Provide technical support and guidance to internal teams and clients using the automated compliance validation tools

A day in the life
• Bachelor's or Master's degree in Computer Science, AI, or a related field
• Strong programming skills, particularly in Python and machine learning frameworks (e.g., TensorFlow, PyTorch)
• Hands-on experience in AWS Cloud services, along with basic proficiency in React.js and TypeScript to support front-end issue resolution.
• Must have a good understanding of Java for backend troubleshooting.
• Experience working with large language models and natural language processing techniques
• Familiarity with compliance processes and regulatory environments (e.g., GDPR, HIPAA, SOX)
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders- 2+ years of software development, or 2+ years of technical support experience
- Experience scripting in modern program languages
- Experience troubleshooting and debugging technical systems


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