Gen AI Platform Ops Engineer

Motion Recruitment; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical Insurance

Health Savings Account

Flexible Spending Accounts

Voluntary Life Insurance

Short-Term Disability Insurance

Long-Term Disability Insurance

Legal and Identity Protection Plans

Job summary

A leading entertainment company is looking for an AI/ML Ops Engineer to enhance their AI Engineering team in Seattle, WA. The role revolves around managing AI platforms aimed at optimizing guest experiences and includes responsibilities like model deployment, performance monitoring, and collaboration across technical teams. This is a full-time position with an 18-month W2 contract offering hybrid work flexibility, competitive benefits, and opportunities for extension or permanent conversion in a dynamic work environment.

Qualifications

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related field is required.
• Hands-on experience with Gen AI/LLM platforms.
• Working knowledge of Responsible AI principles.

Responsibilities

• Own operational workflows for ML model deployment and updates.
• Monitor model performance KPIs including latency and error rates.
• Build dashboards for platform performance and cost management.

Skills

Hands-on experience with Gen AI/LLM platforms

Familiarity with AI agent architectures

Solid understanding of MLOps lifecycle

Strong reporting and dashboarding skills

Ability to coordinate across teams

Education

Bachelor’s Degree in Computer Science or related field

Tools

GCP

Azure

AWS

Kubeflow

MLflow

Job description

A leading entertainment company is looking for an AI/ML Ops Engineer to enhance their AI Engineering team in Seattle, WA. The role revolves around managing AI platforms aimed at optimizing guest experiences and includes responsibilities like model deployment, performance monitoring, and collaboration across technical teams. This is a full-time position with an 18-month W2 contract offering hybrid work flexibility, competitive benefits, and opportunities for extension or permanent conversion in a dynamic work environment.