Senior ML Engineer with AzureData Bricks(10+ Years)(Onsite interview)

Role :

Senior ML Engineer with

Azure Data Bricks Exp :

10+

Years Location :

Plano, TX 3 days onsite and 2 days remote

Skills Required:

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 hands on ML engineering and data engineering experience, including building and hydrating curated data models and leading technical teams. Proven ability to design ML ready 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 ML ready 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)