Senior MLOps Engineer - Hybrid AI Platform Lead

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

Benefits offered by this job

Annual bonus

Incentives

Benefits package

Job summary

Vivint Smart Home seeks a Sr MLOps Engineer to build model lifecycle, deployment, observability, and infrastructure foundations used by multiple AI features. You will own versioning, standardize workflows, and partner across teams to productionize AI capabilities at scale.

The role requires strong Python and cloud skills, experience with MLOps, CI/CD, and IaC, and a collaborative approach working with engineering, data science, and product teams. Hybrid in Seattle, WA.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related field with 5+ years of experience; or a Master’s degree with 2+ years of experience.
• Experience building production ML platforms, model serving systems, or MLOps workflows.
• Strong Python and cloud engineering skills, plus CI/CD, Git, and infrastructure-as-code experience.
• 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

ML engineering

Education

Bachelor’s degree in CS/SE/AI

Master’s degree in CS/SE/AI

Tools

Kubernetes

MLflow

Vertex AI

SageMaker

Job description

Vivint Smart Home seeks a Sr MLOps Engineer to build model lifecycle, deployment, observability, and infrastructure foundations used by multiple AI features. You will own versioning, standardize workflows, and partner across teams to productionize AI capabilities at scale.

The role requires strong Python and cloud skills, experience with MLOps, CI/CD, and IaC, and a collaborative approach working with engineering, data science, and product teams. Hybrid in Seattle, WA.