AI Specialist – Accounting Automation & Implementation

Title: AI Specialist - Accounting Automation & Implementation

Experience: 3+years

Location: Chennai

Key Responsibilities:

• Collaborate with leadership and functional teams to identify key areas for AI-driven improvements in accounting, tax, and audit workflows.
• Design, develop, and implement AI solutions such as data extraction, document classification, anomaly detection, and automation of repeatable tasks.
• Train and fine-tune machine learning models using company data, ensuring compliance with US and Canadian accounting and regulatory frameworks.
• Integrate AI tools with existing software platforms (e.g., QuickBooks, Xero, Excel, etc.).
• Lead training sessions and workshops for staff on the use of new AI tools and workflows.
• Monitor AI system performance, troubleshoot issues, and recommend enhancements.
• Stay abreast of emerging AI technology trends, especially those relevant to accounting and finance.
• Document processes, model parameters, and provide regular updates to stakeholders.
• Ensure all data handling and AI use adheres to client confidentiality and international data privacy laws.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 3+ years of experience in AI/ML development and implementation—accounting industry experience highly preferred.
• Proficient in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with natural language processing, OCR, and RPA (Robotic Process Automation) tools.
• Familiarity with common accounting platforms (e.g., QuickBooks, Xero) and their APIs is an advantage.
• Strong programming skills in Python, R, or similar languages.
• Excellent communication and training skills, with the ability to explain complex technical concepts to non-technical staff.
• Proven project management and problem-solving abilities.

Preferred Attributes:

• Experience in US/Canadian tax, accounting, or audit process automation.
• Certifications in AI/ML or data science.
• Knowledge of US/Canadian data privacy and security regulations (e.g., SOC 2, PIPEDA).
• Prior experience in an outsourced or BPO environment.