Senior Python Backend Engineer - AI/ML & APIs

Scio

México

A distancia

MXN 800.000 - 1.200.000

Jornada completa

14 días+

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Descripción de la vacante

Scio, based in Mexico, seeks a Senior Python Developer (AI & Backend Expertise) to design and build scalable APIs, integrate AI/ML models, and collaborate with data scientists, ensuring robust, secure backend services.

You will work with Django/Flask/FastAPI, RESTful APIs, and modern data pipelines while optimizing performance for AI-driven features. The role emphasizes clean code, testing, and CI/CD for production deployments.

Formación

  • 5+ years of backend development experience.
  • Strong experience with Python and backend frameworks.
  • Proficiency with SQL databases (PostgreSQL, MySQL) and NoSQL (MongoDB).
  • Hands-on experience integrating AI/ML models in production.
  • Knowledge of Docker, Kubernetes and cloud platforms (AWS, GCP, Azure).

Responsabilidades

  • Develop and maintain backend services using Python and frameworks like Django, Flask, or FastAPI.
  • Design and implement RESTful APIs and integrate with third-party services.
  • Collaborate with data science teams to deploy ML models into production.
  • Optimize performance and scalability for AI-driven features.
  • Implement data pipelines for model training and inference.
  • Write clean, well-documented code following best practices.
  • Ensure security, testing, and CI/CD for AI-enabled apps.
  • Monitor and troubleshoot production systems for uptime.

Conocimientos

Python
Django/Flask/FastAPI
SQL
NoSQL
ML integration
REST APIs
Docker/Kubernetes
Cloud platforms
Asynchronous programming
API security

Descripción del empleo

Scio, based in Mexico, seeks a Senior Python Developer (AI & Backend Expertise) to design and build scalable APIs, integrate AI/ML models, and collaborate with data scientists, ensuring robust, secure backend services.

You will work with Django/Flask/FastAPI, RESTful APIs, and modern data pipelines while optimizing performance for AI-driven features. The role emphasizes clean code, testing, and CI/CD for production deployments.

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