Senior MLOps Platform Lead (GCP)

H.E.B.; Austin (TX); In loco; USD 170.000 - 230.000; Tempo pieno

Descrizione del lavoro

H.E.B. is seeking a Senior Engineering Manager for the MLOps Platform to build and lead the enterprise ML platform on Google Cloud.

You will partner with product, design, and other engineering leaders to deliver high-quality, repeatable technology for the digital organization. You will lead MLOps and platform engineers, design a cohesive ML lifecycle platform, and drive model training, CI/CD for ML, and scalable inference on GCP.

Competenze

• 7+ years of experience in software, data, or platform engineering.
• 2+ years of experience managing engineering teams delivering production platform infrastructure.
• Experience successfully delivering timely, high-quality software.

Mansioni

• Build, mentor, and lead a high-performing team of MLOps and platform engineers.
• Architect and deliver a cohesive ML lifecycle platform—feature stores, model registry, CI/CD for ML, pipelines.
• Establish engineering standards, provide technical guidance, and drive improvements to processes and tools.
• Partner with Data Scientists to improve developer experience through self-service tooling, SDKs, templates, workflows.
• Establish high-throughput batch and real-time inference infrastructure on GCP, including LLMOps capabilities.
• Leverage BigQuery and data lakes for data ingestion, governance, drift detection, and cost optimization.

Conoscenze

MLOps & AI tooling

GCP & Cloud Infra

Engineering practices

Data platform acumen

Formazione

Bachelor's / Master's degree in a relevant field

Descrizione del lavoro

H.E.B. is seeking a Senior Engineering Manager for the MLOps Platform to build and lead the enterprise ML platform on Google Cloud.

You will partner with product, design, and other engineering leaders to deliver high-quality, repeatable technology for the digital organization. You will lead MLOps and platform engineers, design a cohesive ML lifecycle platform, and drive model training, CI/CD for ML, and scalable inference on GCP.