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Cyber 1 Armor

Senior MLOps / LLMOps Engineer

Pay: Not specified

Posted: 6 days ago

Location: Milpitas, CA (Onsite)

Last Updated: 4 days ago

Hours: Part-Time

Expires: 10/12/2026

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What they do

A Platform Engineer is responsible for the development of platforms that support the needs and use cases of different engineering teams across the organization. Creates reusable tools and workflows to streamline operational needs and facilitate automation tasks, supporting scalability of DevOps practices.

$161,754 / year median in California

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Job Description

Senior MLOps /

LLMOps Engineer Location :

Milpitas 4 days onsite contracts We are looking for a Senior MLOps / LLMOps Engineer to help standardize and enhance enterprise ML and GenAI deployment pipelines.

Key Skills:

Strong hands-on experience with Databricks and MLflow Experience building and maintaining MLOps/LLMOps platforms Cloud expertise in Azure and/or Google Cloud Platform CI/CD pipeline development and automation Model deployment, monitoring, and lifecycle management Kubernetes, Docker, Infrastructure as Code (Terraform preferred) Experience supporting GenAI/LLM applications in production Knowledge of model evaluation, observability, governance, and release management

Responsibilities:

Standardize MLOps and LLMOps workflows across teams Build and optimize CI/CD pipelines for ML and GenAI applications Deploy, monitor, and manage models in production environments Establish best practices for MLflow, model governance, and operational excellence Collaborate with data science, platform, and engineering teams