Wizeline, a global AI-native technology solutions provider, develops cutting-edge,
digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a integral community of innovators, we foster a culture of
Architect end-to-end ML infrastructure across pipelines, serving, monitoring, and governance.
Lead deployment of high-impact models (forecasting engines, optimization solvers, NLP models).
Design advanced CI/CD workflows using Azure Pipelines, MLflow, and Databricks.
Build monitoring systems for model drift and retraining automation.
5–8+ years in ML Engineering, MLOps, or high-scale ML systems.
Deep expertise in Spark, Azure Databricks, MLflow, Kubernetes, and Docker.
Proven track record deploying ML at enterprise scale with audit and monitoring layers.
Familiarity with hybrid/multi-cloud infrastructure.
Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Leadership experience in ML platform or DevOps teams.
Experience with feature stores and feature engineering. Commitment to Professional Development
Global Opportunities

📌 Data Scientist (Irapuato)
🏢 Wizeline
📍 Irapuato