About The Business Area
GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.
We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.
In this role, your key responsibilities include:
- Develop and Implement advanced data science solutions to support the organization’s AI strategy
- Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
- Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
- Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
- Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
- Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
- Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
- Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
- Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
- Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
- Strong knowledge of banking operations and terminologies
- Analyses complex banking products and services for facilitating decision-making
The ideal candidate should have the following experience:
- Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
- Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
- Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
- Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
- Master’s degree or equivalent in AI/ML is preferred
- Advanced Python for AI/ML development and data manipulation
- Strong statistical expertise and experimental design (A/B testing, inference)
- Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
- Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
- Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
- Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
- Strong data visualization skills (Tableau, Power BI) with UX-focused design
- Effective collaboration with engineering teams and cross-functional stakeholders
- Knowledge of CI/CD, containerization, and documentation standards
- Active learner with awareness of emerging AI trends and technologies