Senior Python Backend Developer (Mlflow)

Solvd Inc.; A distancia; ARS 86.304.000 - 115.074.000; Jornada completa

Descripción de la vacante

A technology solutions provider is seeking a Senior Python Backend Developer (MLFlow) in Córdoba, Argentina. You will work on building a scalable backend platform that runs data-driven analytical models while ensuring model execution, data validation, and full traceability. The ideal candidate should have over 3 years of experience in Python backend development, proficiency in pandas, PySpark, SQL, and familiarity with cloud environments like Azure. Competitive salary and a collaborative environment await the right individual.

Formación

• 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 teams.

Responsabilidades

• Develop Python wrappers around insurance reserving models.
• Implement data-validation and metadata-tracking logic.
• Collaborate with actuaries on reproducible Python workflows.
• Contribute to CI/CD for model deployment.
• Ensure transparency and reproducibility of model runs.
• Cooperate with Node.js and React engineers.

Conocimientos

Python

PySpark

SQL

Herramientas

PostgreSQL

Azure

MLflow

Databricks

Descripción del empleo

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.