Job
Core
Design, develop, and productionize machine learning models end-to-end for business-critical use cases like client lifetime value, churn prediction, and fraud detection in a regulated financial environment.
Role type
Senior AI/ML Engineer (Applied AI Lead)
Builds
Production-grade AI systems, MLOps pipelines, and model governance frameworks for a multi-regulated forex and CFD broker.
Domain
Fintech / Financial Services / Machine Learning
Deliverable
production ML models
Required skills
Python, software engineering fundamentals, machine learning concepts, large-scale data processing (Spark/PySpark), ML lifecycle tools (MLflow), CI/CD pipelines, SQL, model deployment and monitoring, model explainability techniques.
Preferred skills
Fintech/trading domain experience, real-time/streaming ML systems, modern AI approaches (LLMs, embeddings, RAG), regulated environment experience.
Responsibilities
Design and deploy end-to-end ML models; lead AI use cases aligned with business outcomes; build MLOps practices and deployment pipelines; implement model monitoring and retraining strategies; ensure model explainability and governance; collaborate with data engineering and cross-functional stakeholders; mentor team members.
Seniority
Senior, hands-on IC with leadership responsibilities