Senior ML Platform Engineer I - Financial Crime
Core
Building the model lifecycle platform for financial crime detection to enable scalable, reliable, and reproducible ML model development, deployment, and monitoring.
Role type
Senior ML Platform Engineer (Infrastructure)
Builds
Declarative training pipelines, model packaging/serving abstractions, evaluation frameworks, and monitoring systems for FinCrime detection.
Domain
Financial Services / Financial Crime / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
ML platform infrastructure design, software engineering fundamentals (Python, Kotlin/Java, SQL), ML orchestration (Airflow, Kubeflow), model registries (MLflow), container-based deployment, end-to-end ML lifecycle knowledge, product mindset for internal tooling.
Preferred skills
Model serving at scale (latency optimization, ONNX, canary deployments), FinCrime/fraud/AML experience, model monitoring and drift detection, migrating teams to platform-based approaches.
Technologies
Python, Kotlin, Java, SQL, Airflow, Kubeflow, MLflow, ONNX
Responsibilities
Designing declarative training pipelines, building model packaging and serving abstractions, implementing model evaluation frameworks, building model monitoring systems, integrating with central ML infrastructure, maximizing data science productivity.
Seniority
Senior, hands-on IC