Wizeline, a integral 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 global 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 - ML Engineering (Fraccionamiento los Ángeles)
🏢 Wizeline
📍 Fraccionamiento los Ángeles