Senior MLOps Engineer: Scale AI Platform & Deployment

Vivint; United States; On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Paid holidays and flexible paid time away

Employee/Friends/Family Discounts

Medical/dental/vision/life coverage

401(k) + Employer Match

Employee Resource Groups

Job summary

Vivint is seeking a Sr MLOps Engineer to enhance the model lifecycle, deployment, and infrastructure for various AI features. Responsibilities include building model serving systems, standardizing workflows, and collaborating with teams to ensure efficient AI implementations.

Ideal candidates will have a relevant degree and 5+ years of experience in software development or ML engineering, with strong skills in Python and cloud technologies. The compensation range is competitive, and perks include paid time off and comprehensive health benefits.

Qualifications

• 5+ years of experience in software development or ML engineering.
• Experience with production ML platforms and MLOps workflows.
• Ability to communicate tradeoffs across teams.

Responsibilities

• Build model registry, serving, deployment, and CI/CD systems for AI services.
• Standardize operational workflows for AI teams.
• Partner with various teams to productionize AI capabilities.

Skills

Python

Cloud Engineering

CI/CD

Git

Education

Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML

Tools

GCP/AWS

Kubernetes

MLflow

Job description

Vivint is seeking a Sr MLOps Engineer to enhance the model lifecycle, deployment, and infrastructure for various AI features. Responsibilities include building model serving systems, standardizing workflows, and collaborating with teams to ensure efficient AI implementations.

Ideal candidates will have a relevant degree and 5+ years of experience in software development or ML engineering, with strong skills in Python and cloud technologies. The compensation range is competitive, and perks include paid time off and comprehensive health benefits.