We are seeking a visionary Senior Machine Learning Engineer to own the intersection of data engineering and enterprise-scale AI, leveraging Medallion Architecture on Azure Databricks. You will build ML-ready data pipelines and lead the evolution of our ML and data platform in a hybrid work environment in Dallas, TX. This role offers the opportunity to shape data strategy, mentor teams, and drive innovation in a mid-sized company with a strong culture.
Responsibilities
Lead the evolution of the cutting-edge ML and data platform
Build dynamic ML pipelines from data ingestion to deployment and monitoring
Design and operationalize Bronze → Silver → Gold data flows for ML workloads and analytics
Develop and maintain ML-ready datasets and a Feature Store
Turn business needs into scalable, impactful ML solutions
Engineer robust ETL/ELT and automated workflows
Collaborate to ensure ML solutions deliver business impact
Mentor the team and champion engineering excellence
Safeguard data governance, security, and performance
Create dashboards and models to turn ML insights into action
Requirements
5–7 years of ML and data engineering, including building data models and leading teams
Designed ML-ready architectures and scalable workflows; set engineering standards
Expert in Medallion Architecture for structured, ML-ready datasets
