Senior ML Platform Engineer II - Financial Crime
Core
Designing and building the declarative training pipeline, model packaging/serving abstraction, evaluation framework, and monitoring systems for financial crime detection models.
Role type
Senior ML Platform Engineer
Builds
Scalable, standardized ML lifecycle platform for financial crime detection
Domain
FinTech / Financial Crime / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
Python, Kotlin/Java, SQL, ML orchestration (Airflow/Kubeflow), model registries (MLflow), container-based deployment, end-to-end ML lifecycle understanding, 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 from manual to platform workflows
Technologies
Airflow, Kubeflow, MLflow, ONNX, Python, Kotlin, Java, SQL
Responsibilities
Design declarative training pipelines, build model packaging and serving abstractions, implement model evaluation frameworks, build model monitoring with drift detection, integrate with central ML infrastructure, maximize data science productivity
Seniority
Senior, hands-on IC
