AI Specialist – Accounting Automation
1 day ago
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.
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