Global Financial Crimes Tech - Applied AI ML Director
Core
Lead the design, build, and productionization of AI-driven Global Financial Crimes Strategic Monitoring solutions detecting AML risk, regulatory violations, and behavioral anomalies at scale.
Role type
Executive Director, Applied AI/ML Engineering
Builds
Risk typologies, features, data pipelines, supervised/unsupervised ML models, and LLM risk explainability systems
Domain
Financial Services / Anti-Money Laundering (AML) / Machine Learning
Deliverable
production ML models
Required skills
Natural Language Processing (NLP), Information Retrieval, Functional Programming, JVM-based languages (Python, Java), Cloud-scale microservices architecture, ML frameworks (PyTorch, TensorFlow, SciKit, NeMo, Huggingface Transformers), AWS services, Databricks, SQL/NoSQL, MLOps
Preferred skills
Databricks CDAO platform, Production-grade ML pipelines and APIs, AML monitoring systems, Vector databases, Model serving, Inference optimization
