Lead AI ML Engineer
Core
Lead an ML team to build and operate LLM-based solutions for detecting AML risk, regulatory violations, and behavioral anomalies in high-volume banking transactions.
Role type
Senior IC Lead Machine Learning Engineer (Financial Crimes)
Builds
Production-grade LLM solutions, risk-feature data pipelines, and MLOps frameworks for global financial monitoring.
Domain
Financial Services / AI / Risk Modeling
Deliverable
production ML models
Required skills
Information retrieval, Natural language processing, Functional programming, JVM-based languages, Cloud-scale microservices architecture, ML frameworks (PyTorch, TensorFlow, SciKit, NeMo, Hugging Face), AWS services, Databricks, SQL, NoSQL, Messaging platforms, Model serving, Inference optimization, MLOps, Drift detection, Bias monitoring
Preferred skills
Production-grade ML pipelines, AML monitoring systems, Data engineering concepts, Distributed systems, Scalable architectures, Vector databases
Technologies
AWS, Databricks, Java, Python, PyTorch, TensorFlow, SQL, NoSQL, LLM, MLOps, Model Serving
Responsibilities
Lead a small team of ML engineers, set and reinforce development and operational standards, design and operate ML models, design and run LLM-based solutions, create feedback loops and accuracy measurement methods, design and maintain risk-feature data pipelines, monitor for drift, bias, and performance degradation.
Seniority
Senior, hands-on IC with team leadership