Key Responsibilities:

- Lead the
design, development, and deployment of AI/ML solutions for the lending and
transaction banking businesses, focusing on high -impact areas like credit
scoring, risk assessment, payment processing, and fraud detection.

- Architect
and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries.

- Drive the
development and optimization of NLP models and Large Language
Models (LLMs) for applications like automated document processing,
customer profiling, and customer interaction.

- Implement vision -based
algorithms for document verification, KYC (Know Your Customer) processes,
and transaction monitoring.

- Collaborate
with business stakeholders to understand the business processes, define
AI -driven features, and ensure smooth integration of machine learning models
into the existing technology stack.

- Ensure
best practices in machine learning lifecycle management, including model
training, tuning, and deployment in enterprise environments.

- Guide in managing the scalability, performance, and robustness of AI
solutions, ensuring they meet the needs of enterprise software systems
in transaction banking and lending.