IA & Data Engineer
Core
Designing and deploying data pipelines and AI/ML solutions for fraud detection, AML/KYC, and document analysis in a regulated banking environment.
Role type
Senior AI & Data Engineer
Builds
Production data pipelines, hybrid data architectures, and ML models for financial risk and analytics
Domain
Financial services / Banking / Regulated AI
Deliverable
production ML models | product features
Required skills
Python, SQL, Git, Machine Learning, NLP, Model Evaluation, Data Engineering, CI/CD, MLOps, API Integration, Data Governance
Preferred skills
LLMs, Prompt Engineering, LangChain, OCR, Document Processing, DevOps, Container Orchestration, Banking Domain Knowledge
Technologies
Dataiku, Snowflake, Big Data Platforms
Responsibilities
Design and maintain data pipelines for analytics and AI; Define and optimize hybrid data architectures; Develop, deploy, and supervise ML models; Implement LLM solutions for document processing and RAG; Industrialize development via CI/CD and MLOps; Ensure model quality, traceability, and governance compliance; Write technical documentation and participate in validation committees; Collaborate with business, IT, compliance, and risk teams; Mentor junior profiles.
Seniority
Senior, hands-on IC