What are the responsibilities and job description for the Senior ML Engineer with AzureData Bricks(10+ Years)(Onsite interview) position at 3S Business Corporation Inc.?
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 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)