technologies-expected :

• Python
• PySpark
• SQL
• PostgreSQL

technologies-optional :

• Microsoft Azure
• MLflow
• Databricks Jobs

about-project :

• We are looking for a Senior Python Backend Developer (MLFlow) to join our team.
• Project description
• The project consists of building a scalable backend platform that runs data-driven analytical models in a controlled, automated, and auditable way. The backend must orchestrate model execution, enforce data validation, manage metadata and artefacts, and ensure full traceability of every processing step. The architecture is modular and cloud-oriented, with a strong focus on automation, versioning, and operational reliability.
• Tech stack
• Core: Python 3.x (pandas, numpy, pydantic, mlflow, databricks-sdk)
• Data Layer: PostgreSQL, Azure Blob Storage, Parquet
• Computation: Databricks Jobs / MLflow Projects
• Integration: NestJS API
• CI/CD & Infra: GitHub Actions, Terraform

responsibilities :

• Develop Python wrappers around insurance reserving models and register them as MLflow Projects on Databricks.
• Implement data-validation and metadata-tracking logic against the Data Contract Registry (PostgreSQL).
• Collaborate with actuaries to translate reserving logic into reproducible, parameterized Python workflows.
• Contribute to CI/CD for model deployment and lifecycle management in Databricks.
• Ensure transparency, auditability, and reproducibility of all model runs.
• Cooperate with Node.js (NestJS) and React engineers on orchestration and UI integration.

requirements-expected :

• 3 + years of experience in Python backend or data engineering.
• Hands-on skills with pandas / PySpark and SQL (PostgreSQL).
• Experience with model packaging or ETL/ELT pipelines.
• Familiarity with cloud environments (Azure preferred).
• Ability to write clean, testable, well-documented code.
• English fluency for daily communication with actuarial and engineering teams.