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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) leveragingRetrieval-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 usingPython,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 throughautomationand/ormachine 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 indata science,machine learning, andAIto 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 Requirement :
Master's degreein 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
Our company has never levied any fees for the recruitment process nor has it required to order tickets and accommodation through a certain travel agent or certain person
Job ID: 104744097