ML Engineer with Azure Data Bricks

• looking for candidates with hands on Databricks and Python (Model Development) experience in a true machine learning capacity, not just Data Engineering

• 8 years of handson ML engineering and data engineering experience, including building and hydrating curated data models and leading technical teams.

• Proven ability to design MLready data architectures and establish engineering standards, coding practices, and scalable workflows.

• Deep understanding of Medallion Architecture, including how to ingest raw source data into Bronze, refine and validate it in Silver, and deliver clean, conformed, analytics and MLready Gold Layer datasets.

• Extensive experience using Azure Databricks for ML development, feature engineering, and data engineering pipelines.

• Background migrating workloads to Databricks and leveraging Delta Lake, ML flow, and Databricks Workflows to operationalize ML and data transformations.

• Strong proficiency in Python for model development, feature engineering, and ML Ops automation.

Must share 1 reference, (These must be from managers or supervisors you ve reported most recently or within the past 3 years)