Senior MLOps Engineering Manager: Scale Production AI

Quince; Palo Alto (CA); On-site; USD 270,000 - 300,000; Full time

Job summary

A tech company in Palo Alto is seeking a Senior Engineering Manager for MLOps. This role demands a candidate with extensive industry experience and a background in building scalable machine learning infrastructure. The successful applicant will lead strategic initiatives in a rapidly growing environment, manage a team, and ensure operational excellence. Ideal candidates should possess deep technical knowledge of cloud-native infrastructures and MLOps platforms. The salary ranges from $270,000 to $300,000 USD, reflecting the level of expertise required.

Qualifications

• 10+ years of industry experience, with 3-5 years in leadership focusing on ML Infrastructure.
• Proven track record of building and scaling MLOps platforms.
• Strong understanding of CI/CD for ML, including automated testing.

Responsibilities

• Define the MLOps Vision & Strategy.
• Lead 'Build vs. Buy' Evaluations.
• Recruit and Mentor Top Talent.
• Establish MLOps Standards.
• Champion Operational Excellence.

Skills

Machine Learning infrastructure

Cloud-native infrastructure (AWS)

Kubernetes

Docker

Terraform/Pulumi

PyTorch

TensorFlow

Kubeflow

SageMaker

CI/CD for ML

Job description

A tech company in Palo Alto is seeking a Senior Engineering Manager for MLOps. This role demands a candidate with extensive industry experience and a background in building scalable machine learning infrastructure. The successful applicant will lead strategic initiatives in a rapidly growing environment, manage a team, and ensure operational excellence. Ideal candidates should possess deep technical knowledge of cloud-native infrastructures and MLOps platforms. The salary ranges from $270,000 to $300,000 USD, reflecting the level of expertise required.