Analista MLOps

NEORIS is seeking an MLOps Analyst/Engineer to develop and maintain AI applications using Python and Kubernetes. Responsibilities include building ETL pipelines, deploying APIs, and managing CI/CD workflows. Requires 4+ years of experience with AI components and fluency in Spanish. The role offers flexible work options and a competitive salary.

• Develop, deploy, and maintain AI applications using Python in production environments.
• Manage and orchestrate containers and deployments using Kubernetes.
• Design and execute ETL processes with Python and Spark.
• Build and maintain APIs related to AI/ML solutions.
• Implement CI/CD pipelines and ensure code quality using GitHub Actions, SonarQube, or Fortify.
• Collaborate with Data Scientists, Product Owners, and technical teams to ensure production monitoring and operations.

• At least 4 years of experience in developing and maintaining applications with AI components.
• Experience with Python.
• Experience with Kubernetes for deployment and application management.
• Knowledge of SQL.
• Experience with ETL processes using Python and Spark.
• Experience with Git and CI/CD pipelines (GitHub Actions, SonarQube, Fortify or similar).
• Experience in deployment, maintenance, and monitoring of applications in production.