Data Scientist - ML Engineering

Wizeline is seeking a Data Scientist with a strong ML Engineering background to architect and deploy end-to-end ML infrastructure. You will lead the deployment of high-impact models, design advanced CI/CD workflows, and mentor other engineers. This role is crucial for driving MLOps best practices and ensuring the successful integration of AI-powered solutions.

• Architect end-to-end ML infrastructure including pipelines, serving, monitoring, and governance
• Lead deployment of high-impact models like forecasting engines, optimization solvers, and NLP models
• Design advanced CI/CD workflows using Azure Pipelines, MLflow, and Databricks
• Implement model registry, versioning, lineage, and audit compliance
• Build monitoring systems for model drift and retraining automation
• 5-8+ years in ML Engineering, MLOps, or high-scale ML systems