JOB PURPOSE
• The role holder will be charged with establishing and leading Pearl  Bank’s central AI/ML capability, transforming the institution into an AI-driven leader in financial services.
• This role is responsible for architecting the AI-ready data foundation, researching, developing, and deploying productiongrade machine learning models and AI agents that deliver tangible
business value. The manager will spearhead a portfolio of strategic initiatives, leveraging a state-of-the-art tech stack centered on Python, TensorFlow, and Large Language Models (LLMs).
KEY RESPONSIBILITIES /KEY DELIVERABLES
AI/ML Strategy & Roadmap:
• Define and execute the bank’s AI/ML strategy, creating a prioritized roadmap of initiatives that align with key business objectives in risk, customer service, and operational efficiency.
• Establish the vision and lead the implementation of the AI-ready Data Warehouse, ensuring it provides a clean, reliable, and featurerich foundation for model training and inference.
• Act as the bank’s thought leader on AI/ML, educating stakeholders on capabilities, limitations, and ethical use of AI.
End-to-End Model Development & MLOps:
• Lead the end-to-end lifecycle of AI/ML solutions, from data exploration and feature engineering to model training, validation, deployment, and monitoring.
• Architect, build, and train sophisticated ML models using Python and TensorFlow.
• Implement MLOps practices to automate the training, versioning, and deployment of models, ensuring reproducibility and scalability.

BUSINESS BEHAVIOURS
§ Passion: Committed to excellence, delivering outstanding results and making a positive impact on our customers and stakeholders.
§ Teamwork: Collaborates, mutual respect, and diverse perspectives, to achieve shared success and deliver greater value to the Bank.
§ Integrity: Uphold honesty, transparency, and accountability, ensuring ethical practices in every action.
§ Innovation: Embrace creativity and forward-thinking, continually seeking new solutions to enhance customer experience and drive business growth.
QUALIFICATIONS, EXPERIENCE AND COMPETENCIES REQUIRED
• Bachelor’s degree in Computer Science, Software Engineering or a
related course.
• Minimum of five (5) years’ experience in active software engineering,
with at least 1 year in a leadership role managing technical AI/ML
engineering teams.
• Proven, hands-on experience in building and deploying AI & ML
systems.
• Mandatory, deep expertise in Python and TensorFlow (or PyTorch).
• Direct experience with LLM integration, fine-tuning, and application
development (e.g., using LangChain, LlamaIndex).
• Experience in the financial services industry, particularly with credit risk
modeling, is a significant advantage.