AI Engineer (Entry-Level Position)
Core
Build and operationalize AI/ML pipelines and data infrastructure to support advanced analytics use cases and business processes across Latin America.
Role type
AI Platform Engineer (IC)
Builds
Machine Learning pipelines, data models, and analytical applications deployed on multi-cloud environments (GCP/Azure).
Domain
Consumer goods, AI/ML, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, data modelling, cloud infrastructure (GCP/Azure), CI/CD, DevOps practices, ML model deployment, testing (PyTest), static code analysis, logging and monitoring
Preferred skills
Proof of concept development, architecture improvement, coaching others on DevOps best practices
Technologies
Python, SQL, Google Cloud Platform (BigQuery, Kubeflow, Composer, GKE), Azure (Databricks, Azure ML, AKS, ADF), GitHub Actions, Jira, PyTest, Sonarqube
Responsibilities
Design and develop applications sourcing data from various systems; optimize analytical solutions at scale; operationalize Machine Learning models as integral elements of IT solutions; troubleshoot infrastructure issues; implement proactive incident detection systems; craft and develop prototypes for new features.
Seniority
Mid-level, hands-on IC
