Senior Machine Learning Engineer

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 OverviewWe are seeking a Senior Machine Learning Engineer to join our AI team as a technical owner of ML products and infrastructure. This is a deeply hands-on engineering position for someone who builds and scales production AI systems used by real users in real-time environments. The right candidate operates across the full ML lifecycle — from model design through deployment, optimization, and ongoing performance in production — and contributes to the technical direction of the AI platform.Key ResponsibilitiesArchitect and implement robust ML systems in production environments, ensuring scalability, reliability, and performance from day oneBuild and deploy supervised, unsupervised, deep learning, and generative AI models into live production environments at scaleOwn technical design for ML pipelines, feature stores, training infrastructure, and inference systems, driving decisions that balance performance, cost, and maintainabilityDesign and deliver RAG systems, fine-tuning pipelines, prompt engineering frameworks, and evaluation pipelines for production-grade LLM applicationsImplement and maintain CI/CD for ML, model versioning, monitoring, drift detection, and automated retraining pipelinesContinuously optimize model performance, inference latency, cost efficiency, and reliability across live systemsCollaborate with product managers, engineers, and data teams to translate business problems into scalable, maintainable AI solutionsMentor junior and mid-level ML engineers, establish best practices, and contribute to technical standards across the teamContribute to strategic decisions around data architecture, AI infrastructure, and cloud platform directionWork with mobile attribution and customer engagement data sources including Adjust, MoEngage, and Firebase for ML use cases such as churn prediction, personalization, and campaign optimizationRequirements7 to 15 or more years of experience in software engineering, data science, or ML engineeringStrong background in product companies, scale-ups, or enterprise AI platformsProven track record of building production-grade AI systems, not solely notebooks or proof-of-concept workComfortable owning systems end-to-end from data through model through deployment through monitoringProduct-first engineering approach, not research-only profilesAdvanced Python engineering skills with strong systems thinking and a focus on production qualityComfortable with fast iteration cycles and deploying models into live environmentsAbility to work directly and confidently with stakeholders and product ownersFintech or financial services experience is an advantageTechnical SkillsMachine Learning and AI: PyTorch, TensorFlow, XGBoost, LightGBM, Hugging Face (Transformers, Datasets, Diffusers)LLM and GenAI: OpenAI and Anthropic APIs, LangChain, LlamaIndex; RAG architectures with vector DB and retrieval pipelines; embedding models (OpenAI, Cohere, open-source); Pinecone, Weaviate, Milvus, FAISS; fine-tuning via LoRA and PEFT frameworks; evaluation using RAGAS and custom pipelinesMLOps and Production: Docker, Kubernetes, MLflow, Weights and Biases, Airflow, Dagster, Prefect, GitHub Actions, GitLab CI, Evidently AI, Arize, custom observability stacksCloud: AWS (SageMaker, EKS, S3, Lambda), Azure ML, Azure Databricks, GCPData Stack: Databricks, Spark, PySpark, Delta Lake, Apache Iceberg, Lakehouse architecturesWhy 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.