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Machine Learning Ops Data Engineer
Job in
Southlake, Tarrant County, Texas, 76092, USA
Listed on 2026-10-15
Listing for:
The Charles Schwab Corporation
Full Time
position Listed on 2026-10-15
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software, DevOps, Machine Learning/ ML Engineer
Job Description & How to Apply Below
We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). Hands-on technical lead responsible for taking AI/ML projects from development to production in Google Cloud Platform (GCP). This role owns architecture, implementation, deployment, and operations.
Required Skills Expert-level Google Cloud experience, especially services used for AI/ML use cases (e.g., Big Query, Vertex AI, GCS, Dataflow, Pub/Sub, Cloud Run/GKE, Composer/Airflow, IAM, Cloud Monitoring/Logging)
Expert Python for production-grade data and backend engineering
Strong SQL and data modeling for analytics, scalability, and operational workloads
Strong CI/CD and containerization skills (Docker, Git workflows, automated testing, release pipelines)
Solid cloud security and governance practices (IAM, secrets, least privilege, auditability)
Strong observability and reliability engineering skills (monitoring, alerting, incident response, SLAs/SLOs)
Fundamental understanding of AI/ML lifecycle/model development needed to product ionize AI/ML systems (training/serving integration, model versioning, pipeline monitoring support)
What you have Required Work Experience8+ years in data/software engineering, including 2+ years in technical leadership
Proven track record delivering production grade AI/ML use cases on GCP or other cloud providers
Experience building and operating scalable batch/streaming pipelines
Experience leading design reviews, enforcing engineering standards, and mentoring data engineers
Demonstrated support of critical systems in production
Experience partnering with data scientists/MLE/Ops teams to deliver business outcomes
Core Responsibilities Design and build production-ready AI/ML powered, security related use cases on GCPLead end-to-end deployment from prototype to production with clear quality gates
Understand, document, and lead the resolution of technical debts
Implement coding standards, test strategy, data quality checks, alerting mechanisms, and operational runbooks
Ensure platform reliability, security, and cost efficiency
Mentor the MLOps and data engineers while remaining hands-on in code and delivery
Job Summary
Requisition d Date: 17 hours ago(10/13/2026 12:44 PM)
Category:
Engineering & Software Development Salary Range: USD $ - $ / Year Application deadline: 10/19/2026
Position Type:
Full time
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