AI/ML Engineer
About the Position
We are looking for an AI/ML Engineer with solid knowledge in Cloud, IaC, CI/CD, and SWE best practices, focused on designing, building, and operationalizing GenAI-based solutions.
About the Project
You will join a strategic initiative within the Emantto domain, contributing to the acceleration of LATAM’s AI portfolio across multiple touchpoints. The role combines ML/AI engineering with strong software, cloud, and infrastructure skills. You will build and operate GenAI-driven data products, support domain teams, and act as a facilitator of LATAM’s Data & AI Platform.
Responsibilities
- Develop and deliver data products and AI/GenAI solutions within domain teams.
- Act as a facilitator of LATAM’s Data & AI Platform, enabling adoption and accelerating delivery across squads.
- Build, deploy, and operate GenAI/ML models in scalable, production-ready environments.
- Manage infrastructure topics for environments and AI/ML products, including observability, performance, and reliability.
- Contribute to CI/CD pipelines, IaC practices, and platform automation.
- Collaborate with cross-functional teams (SWE, Data, MLOps, DevOps) to ensure high engineering standards.
- Support experimentation frameworks and internal tools for GenAI model development and evaluation.
Requirements
- Experience with GCP (or a similar cloud provider such as AWS/Azure).
- Experience with Terraform or other IaC tools.
- Strong knowledge of Python.
- Backend engineering experience (APIs, services) and GenAI OR ML/MLOps experience (Airflow, MLflow, pipelines, monitoring.
- Solid understanding of CI/CD, containerization (Docker), and SWE best practices.
- Familiarity with model deployment, model serving, and operating ML/AI systems in production.
Nice to Have
- Experience with observability, incident response, or platform operations.
