Why This Role Stands Out
This role offers a fantastic opportunity to shape the future of enterprise ML and GenAI deployment, with significant impact and continuous skill development in cutting-edge technologies like Databricks and LLMOps. You'll thrive here if you're a seasoned engineer eager to build robust, scalable platforms and drive best practices within a collaborative environment. Apply now to be at the forefront of innovation!
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Milpitas, CA, United States
Posted
3 days ago
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
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