Senior MLOps Engineer - AI Platform & Deployment

Vivint; Seattle (WA); Hybrid; USD 150,000 - 185,000; Full time

Benefits offered by this job

Medical benefits

401K

Flexible spending accounts

Job summary

Vivint is seeking a Sr MLOps Engineer to build the model lifecycle, deployment, observability, and infrastructure foundations used by multiple production AI features, including recognition, AI Video Search, Multimodal AI, Agentic AI, and Energy AI ship faster with shared, reliable platform primitives.

In this role, you will be responsible for: Build model registry, model serving, deployment, rollback, and CI/CD systems for production AI services.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering
• Master’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering
• Experience building production ML platforms, model serving systems, or MLOps workflows
• Strong Python and cloud engineering skills
• Experience with CI/CD, Git, infrastructure-as-code, and production monitoring
• Ability to communicate tradeoffs clearly across engineering, data science, and product teams

Responsibilities

• Build model registry, model serving, deployment, rollback, and CI/CD systems for production AI services
• Own feature, dataset, model, and prompt versioning patterns across AI products
• Standardize training, evaluation, release, monitoring, and operational workflows for AI teams
• Improve reliability, cost efficiency, latency, and repeatability of AI launches
• Partner with engineering, data science, product, and operations teams to productionize AI capabilities at scale

Skills

Python

Cloud engineering

CI/CD

Git

Infrastructure as Code

Production monitoring

Communication

Education

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

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

Tools

GCP/AWS

Kubernetes

Vertex AI

SageMaker

MLflow

Job description

Vivint is seeking a Sr MLOps Engineer to build the model lifecycle, deployment, observability, and infrastructure foundations used by multiple production AI features, including recognition, AI Video Search, Multimodal AI, Agentic AI, and Energy AI ship faster with shared, reliable platform primitives.

In this role, you will be responsible for: Build model registry, model serving, deployment, rollback, and CI/CD systems for production AI services.