AI / ML Engineer

We are looking for an AVP - AI Developer to join the Internal Audit and Advisory Department. This role supports the Internal Audit & Advisory function by designing, developing and deploying AI-based solutions to automate and enhance audit activities. The role focuses on bot development, text analytics, intelligent automation and AI-driven insights to reduce manual effort, improve audit coverage and enable continuous auditing.

Responsibilities:

• Design, develop and deploy AI/ML solutions to support internal audit use cases across the audit lifecycle.
• Develop intelligent bots and automation tools to assist auditors in repetitive audit tasks such as data extraction, reconciliation, control testing and evidence validation.
• Build NLP and text analytics solutions to analyse audit reports, policy documents, regulatory guidelines, emails and unstructured data.
• Develop AI-driven continuous auditing and monitoring solutions to identify anomalies, control failures and emerging risks.
• Collaborate with internal auditors to understand business processes, audit objectives and risk areas and translate them into AI solutions.
• Develop proofs-of-concept (POCs) and scale them into production-grade solutions.
• Ensure AI solutions adhere to governance, security, data privacy and model risk management standards.
• Document AI models, logic, assumptions and limitations for audit and regulatory review.
• Provide technical guidance and training to audit teams on AI tools and automated solutions.

Requirements:

• 7 - 10years of experience in AI/ML development, Gen AI, LLM, automation or advanced analytics, preferably in the BFSI or risk/audit domain.
• Bachelor's or Master's degree in computer science, Data Science, Artificial Intelligence, Engineering or related field.
• Strong programming experience in R, Python and familiarity with ML/DL frameworks such as TensorFlow, PyTorch or Scikit-learn.
• Experience in NLP, text analytics, document processing and unstructured data analysis.
• Hands-on experience in bot development, RPA or intelligent automation platforms is an advantage.
• Experience working with large data sets, APIs, databases (SQL/NoSQL) and cloud or on-prem AI deployments.

Key Skills:

• Strong problem-solving and analytical skills with the ability to translate audit requirements into AI solutions.
• Understanding of internal audit, risk management and control concepts is a strong advantage.
• Ability to explain complex AI concepts to non-technical stakeholders.
• Self-driven, innovative and capable of working independently in a dynamic environment.
• Strong documentation, communication and stakeholder management skills.

Skills

AI, Gen AI, LLM, ML, NLP, Python, R, text analytics