Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
This role centers on building scalable, production-grade AI systems that power real-world use cases across the business. You will develop models that directly influence customer experience, automation, and decision-making, working with modern machine learning frameworks and LLM-based technologies.
Ownership spans the full lifecycle — from experimentation to deployment and continuous optimization. The focus is on delivering high-performance systems that operate reliably at scale. This is an opportunity to work on complex, high-impact problems while shaping how AI is applied in a fast-evolving, technology-driven environment.
Key Responsibilities
Design, train, and deploy machine learning models across use cases such as:
recommendation systems
churn prediction
fraud detection
behavioral scoring
Build modular ML pipelines for feature engineering, training, validation, and inference.
Implement deep learning and NLP models, including transformer-based architectures for text and sequence data.
Develop and deploy LLM-based applications (e.g., summarization, chat interfaces, automation tools).
Integrate models into production systems via REST/gRPC APIs and microservices.
Implement MLOps pipelines using CI/CD, versioning, and monitoring tools.
Monitor model performance, detect drift, and implement automated retraining strategies.
Optimize models for latency, throughput, and cost in cloud environments.
Work closely with Data Engineers to ensure scalable and efficient data access.
Evaluate and integrate new AI frameworks and tools to continuously improve performance.
Technical Requirements
Strong Python programming with ML libraries:
scikit-learn, XGBoost, LightGBM
TensorFlow, PyTorch
Hugging Face Transformers
Experience building and deploying models in cloud environments (AWS preferred):
SageMaker
Bedrock
Lambda / ECS / EKS
Strong understanding of ML algorithms (supervised, unsupervised, deep learning).
Experience with NLP, LLMs, or time-series modeling.
Hands-on experience with MLOps tools:
MLflow, Kubeflow, Airflow
Docker, Kubernetes
Experience building real-time inference systems.
Strong understanding of data pipelines and feature engineering.
Ability to write production-quality, scalable code.
Why Join Us?
Work with one of the world’s leading financial derivatives institutions.
Competitive salary plus performance-based incentives.
Access to a dynamic, international, and fast-growing environment.
Strong opportunities for career progression within a global financial group.
Be part of a business committed to innovation, excellence, and long-term growth.
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.
