Senior Machine Learning Engineer

About the role

You will architect and implement robust machine learning systems that power real-time decisioning for global financial services. This role is a deep technical ownership position where you design, build, and scale production AI infrastructure that directly impacts trading and client outcomes. You will own the full lifecycle of ML products, from initial data hypothesis through deployment, optimization, and continuous monitoring in high-stakes environments. You will collaborate closely with product and data teams to turn ambiguous business goals into reliable, scalable machine learning workflows. The role requires a product-first mindset where research insights are rapidly translated into production-grade services. You will mentor other engineers and help define best practices for model reliability, testing, and maintainability. Your work will involve close collaboration with product managers and engineers to solve complex problems using mobile attribution and engagement data. You will contribute to strategic decisions regarding data architecture, AI infrastructure, and cloud platform direction.

Key facts

What you'll do

Architect and implement robust ML systems in production environments, ensuring scalability, reliability, and performance from day one.

Build and deploy supervised, unsupervised, deep learning, and generative AI models into live production environments at scale.

Own technical design for ML pipelines, feature stores, training infrastructure, and inference systems, driving decisions that balance performance, cost, and maintainability.

Design and deliver RAG systems, fine-tuning pipelines, prompt engineering frameworks, and evaluation pipelines for production-grade LLM applications.

Implement and maintain CI/CD for ML, model versioning, monitoring, drift detection, and automated retraining pipelines.

Continuously optimize model performance, inference latency, cost efficiency, and reliability across live systems.

Collaborate with product managers, engineers, and data teams to translate business problems into scalable, maintainable AI solutions.

Mentor junior and mid-level ML engineers, establish best practices, and contribute to technical standards across the team.

Contribute to strategic decisions around data architecture, AI infrastructure, and cloud platform direction.

Work with mobile attribution and customer engagement data sources including Adjust, MoEngage, and Firebase for ML use cases such as churn prediction, personalization, and campaign optimization.

Requirements

7 to 15 or more years of experience in software engineering, data science, or ML engineering.

Strong background in product companies, scale-ups, or enterprise AI platforms.

Proven track record of building production-grade AI systems, not solely notebooks or proof-of-concept work.

Comfortable owning systems end-to-end from data through model through deployment through monitoring.

Product-first engineering approach, not research-only profiles.

Advanced Python engineering skills with strong systems thinking and a focus on production quality.

Comfortable with fast iteration cycles and deploying models into live environments.

Ability to work directly and confidently with stakeholders and product owners.

Fintech or financial services experience is an advantage.

Practical notes

MultiBank Group is a heavily regulated financial institution with oversight from 18+ financial regulators across 5 continents. This role operates within a global framework that values compliance, risk management, and governance. You will work within a dynamic environment that processes a daily trading volume exceeding US$ 35 billion, serving a community of over 2 million clients across 100 countries. The successful candidate will engage with cutting-edge trading technology, liquidity solutions, and customer service capabilities across Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs. This position reports to the AI team within a structure that values innovation, excellence, and long-term growth. You will be expected to adhere to the highest standards of professionalism and integrity in all interactions. The role involves frequent collaboration with cross-functional partners to ensure that technical solutions align with business objectives and regulatory expectations. Travel requirements, if any, and working hours will be defined by operational needs and team coordination across regions. Visa sponsorship considerations will be handled in accordance with company policies and local regulations in the Dubai office. Deadlines for application review will be managed in line with hiring timelines and business priorities.