Python Fast API Engineer (ML + Risk Modeling)

Job Title: Python Fast API Engineer (ML + Risk Modeling)Location: RemoteJob Type: ContractJob Description:We are seeking a Python Fast API 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 ResponsibilitiesDesign and develop REST APIs using Python + Fast API 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 Fast API (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 (Open API/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 SageMakerDiverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.