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Role: Python FastAPI Engineer (ML + Risk Modeling)
Location: 100% Remote
Duration: Long Term Contract
Descriptions:
“We are seeking a Python FastAPI Engineer to build and operate scalable API services for machine learning–driven risk models (e.g., PD/LGD/risk rating). The role will focus on real‑time scoring APIs, batch scoring pipelines, secure integration with data sources, and production readiness including monitoring, logging, and model governance.
Key Responsibilities
Design and develop REST APIs using Python + FastAPI to serve real‑time model scoring for individual loans/customers and support batch scoring workloads.
Integrate APIs with upstream/downstream systems and ensure strong input validation and error handling.
Support model hosting & execution for Python-based models and enable flexible deployment patterns
Implement model operational capabilities: versioning/lineage, audit trails, reason codes/explainability hooks, and champion‑challenger support where needed.
Build/enable observability: structured logging, metrics, tracing, and monitoring for performance, availability, and usage; help implement model performance/drift monitoring pipelines. “
“Strong hands-on experience with Python and FastAPI (building production REST services).
Experience serving or integrating ML models in production (risk scoring, classification/regression, or similar).
Solid engineering practices: unit/integration testing, Git-based workflows, CI/CD, and API documentation (OpenAPI/Swagger).
Familiarity with model governance concepts: version control/lineage, monitoring, explainability/reason codes, audit logs.
Experience with AWS and/or model execution environments such as SageMaker”
Skills: Digital : Python~Digital : Application Programming Interface (API)
To apply for this job email your details to sonu.chauhan@1rpo.net