Job Description Summary :
Development a specialized audit through AI, automation of data analytics, implement cutting edge tools
Job Description :
Develop a specialized Audit Large Language Model (LLM) leveraging Retrieval-Augmented Generation (RAG) and open-source LLMs (e.g., Llama, Mistral AI)
Enable Internal Audit processes such as audit preparation, data analytics, audit execution, report generation, and compliance with applicable laws through innovative AI solutions
Drive full automation for repetitive tasks in the Internal Audit Division using Python, R, or other programming languages
Design and implement tools to enhance productivity and efficiency within the audit lifecycle
Continuously improve Internal Audit and investigation workflows through automation and/or machine learning techniques
Innovate processes to ensure robustness, efficiency, and compliance
Identify trends and opportunities to innovate in both methodologies and technologies
Evaluate and implement cutting-edge tools and techniques in data science, machine learning, and AI to boost performance and business value
Stay up to date on advancements in large language models, their capabilities, limitations, and best practices, applying these insights to improve internal systems
Perform in-depth analysis of large datasets to identify red flags and anomalies, enhancing fraud detection and risk mitigation capabilities
Job Requirements :
Master's degree in Computer Science, Data Science, Mathematics, Statistics or a related quantitative field
At least 3 - 5 years' experience as a Machine Learning or AI Engineer
Has been involved in LLM implementation at least 1 time from start to finish
Advanced proficiency with Python, Java, and R code writing
Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture
In-depth knowledge of mathematics, statistics, and algorithms
Superb analytical and problem-solving abilities
Great communication and collaboration skills
Excellent time management and organizational abilities
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