Search
Go
This job is no longer accepting applications
This listing was closed on Jul 18, 2026.
Browse Open JobsSenior Machine Learning Engineer
Summary by AIEngineer.careers
Senior Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Riccione Resources, Inc. in DALLAS, US. Compensation shown: $160K–$185K. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
DALLAS · US
$160K–$185K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from linkedin.com
Senior Machine Learning Engineer to architect ML/data platform using Medallion Architecture, build pipelines, and lead ML strategy. Hybrid role in Dallas.
Responsibilities
- Lead evolution of ML & Data Platform
- Build dynamic ML pipelines from data ingestion to deployment and monitoring
- Design and operationalize Bronze → Silver → Gold data flows
- Develop and maintain ML-ready datasets and Feature Store
- Turn business needs into scalable ML solutions
- Engineer robust ETL/ELT and automated workflows
- Collaborate to ensure ML solutions deliver business impact
- Mentor 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
- Experienced with Azure Databricks for ML and data pipelines
Riccione Resources, Inc.
Dallas · US · 1+ employees
Riccione Resources, Inc. is a staffing and recruiting firm based in Dallas, specializing in engineering management and technical positions, ranging from software to hardware engineering. They have deep roots in the software engineering field and provide full-time, contract-to-hire, and contract placements.
