Data Scientist
PROLIM Corporation
Data Scientist
Remote
Contract
JD:
Python Fast API Engineer (ML + Risk Modeling) "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 (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 + 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. "
Remote
Contract
JD:
Python Fast API Engineer (ML + Risk Modeling) "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 (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 + 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. "
Vacancy posted 5 days ago
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