Python FastAPI Engineer

Dallas, IA - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Request ID: 69734-1

Start/End Dates: 4/12/2026 - 10/12/2026

Tax Work Location: US Default

Job Title: Information TechnologyUSA - USAData Scientist

Job Description: **Please strictly adhere to the following resume naming convention:

ALL CAPS NO SPACES B/T UNDERSCORES

PTNUSGBAMSREQIDCandidateBeelineID

i.e. PTNUS9999999SKIPJOHNSON0413

Bill Rate: $70-75/hr

MSP Owner: Mya Riecke

Location: Remote

Duration: 6 months

GBaMS ReqID:

Python FastAPI Engineer (ML Risk Modeling) 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

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.

Role Descriptions: Role SummaryWe are seeking a Python FastAPI Engineer to build and operate scalable API services for machine learningdriven risk models (e.g. PDLGDrisk 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 FastAPI to serve real time model scoring for individual loanscustomers and support batch scoring workloads. Integrate APIs with upstreamdownstream 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 versioninglineage audit trails reason codesexplainability hooks and champion challenger support where needed. Buildenable observability structured logging metrics tracing and monitoring for performance availability and usage help implement model performancedrift monitoring pipelines. Required Skills ExperienceStrong hands-on experience with Python and FastAPI (building production REST services).Experience serving or integrating ML models in production (risk scoring classificationregression or similar). Solid engineering practices unitintegration testing Git-based workflows CICD and API documentation (OpenAPISwagger).Familiarity with model governance concepts version controllineage monitoring explainabilityreason codes audit logs. Experience with AWS andor model execution environments such as SageMaker

Essential Skills: Role SummaryWe are seeking a Python FastAPI Engineer to build and operate scalable API services for machine learningdriven risk models (e.g. PDLGDrisk 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 FastAPI to serve real time model scoring for individual loanscustomers and support batch scoring workloads. Integrate APIs with upstreamdownstream 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 versioninglineage audit trails reason codesexplainability hooks and champion challenger support where needed. Buildenable observability structured logging metrics tracing and monitoring for performance availability and usage help implement model performancedrift monitoring pipelines. Required Skills ExperienceStrong hands-on experience with Python and FastAPI (building production REST services).Experience serving or integrating ML models in production (risk scoring classificationregression or similar). Solid engineering practices unitintegration testing Git-based workflows CICD and API documentation (OpenAPISwagger).Familiarity with model governance concepts version controllineage monitoring explainabilityreason codes audit logs. Experience with AWS andor model execution environments such as SageMaker

Desirable Skills:

Keyword:

Skills: Digital : PythonDigital : Application Programming Interface (API)Digital : Machine LearningDigital : Python for Data Science

Experience Required: 8-10

Request ID: 69734-1 Start/End Dates: 4/12/2026 - 10/12/2026 Tax Work Location: US Default Job Title: Information TechnologyUSA - USAData Scientist Job Description: **Please strictly adhere to the following resume naming convention: ALL CAPS NO SPACES B/T UNDERSCORES PTNUSGBAMSREQIDCandi...