Summary: Confiz is seeking a Python-focused MLOps and DevOps Engineer to build automation tools for ML workflows, automate infrastructure, write clean code, and collaborate with data scientists. Highlights: 1. Build tools for ML workflows orchestration and model deployments using CI/CD 2. Automate infrastructure deployments and tool configurations using IaC tools 3. Collaborate with data scientists to improve developer workflows Confiz is seeking a python focused engineer with strong experience in MLOps and DevOps to join our growing team in Mexico. **Responsibilities:** * Build tools for automation around ML workflows orchestration and model deployments using CI/CD workflows * Automate infrastructure deployments and tool configurations using Terraform or similar IaC tools * Write clean, maintainable code in Python,Go and other object\-oriented programming languages (e.g., Java). * Troubleshoot and resolve issues related to ML workflow deployments * Generate and maintain operational reporting pipeline through tools like big query, looker and tableau. * Collaborate with data scientist to improve developer workflows and ensure seamless integration with tools. **Required Skills and Qualifications:** * Hands\-on experience with Vertex AI, or other similar platforms like Amazon SageMager, * Understanding of different model and its model deployment, monitoring, and scaling in production environment * Proficiency in Python * Basic knowledge on reporting tools like Tableau, looker, big query (SQL) * Experience with Ecommerce, understand general digital ecommerce concepts * Experience with Kubernetes or other containerized orchestration platforms * Basic knowledge of cloud technologies (e.g., AWS, GCP) * Familiarity with security best practices in cloud and containerized environments. * Ability to write unit tests, integration tests, and provide clean, reusable code. * Passion for utilizing GenAI to reduce manual process * Bachelor's degree in computer science, Engineering, or a related field. * 5\+ years of experience in MLOps, DevOps, or a related role. * Strong problem\-solving skills and attention to detail. * Ability to work in a fast\-paced, dynamic environment.