Python ML Risk Model API Engineer

Akkodis is seeking a Python Fast API Engineer to build and operate scalable API services for machine learning-driven risk models. The role focuses on real-time scoring APIs, batch scoring pipelines, and ensuring production readiness including monitoring and model governance.

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/explain ability 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

Requirements:

• 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