Experienced Senior Machine Learning Engineer to support the AI CoEs Machine Learning and Data Science initiatives.

The ideal candidate will have strong hands-on experience building| deploying| and operationalizing machine learning solutions in cloud environments with expert knowledge of SQL and Python and deep experience with Azure ML, Databricks, MLflow, CI/CD pipelines, MLOps, model deployment, monitoring and lifecycle management.

This is a highly technical| hands-on role focused on delivering end-to-end ML solutions| including data preparation| feature engineering| model development| deployment| monitoring| and ongoing production support.

The role requires proven experience taking models from prototype to production| building scalable ML pipelines and services| and integrating machine learning solutions into enterprise applications and operational workflows.

Experience with cloud-native ML platforms| automated deployment processes| and production support is essential.

Experience with Generative AI| LLM applications| agentic AI frameworks| and GenAIOps practices including evaluation| monitoring| deployment| and lifecycle management of GenAI solutions would be considered an asset