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Model Server Assistant Jobs in San Ramon, CA (NOW HIRING)

Acme Corporation

Server

San Francisco, CA · On-site

... models for project success with clients • Spearhead consistent review of project delivery ... goals • Assist in the creation of standards (documentation/strategies/process) that become ...

Hiremore

Cloud System Administrator 1

Fremont, CA

... also assist in the administration of cloud services, Active Directory, and Windows server ... Support infrastructure deployment models, including Private, Public, and Hybrid. * Maintaining a ...

Hiremore

Cloud System Administrator 1

Fremont, CA · On-site

... also assist in the administration of cloud services, Active Directory, and Windows server ... Support infrastructure deployment models, including Private, Public, and Hybrid. * Maintaining a ...

Hyve Solutions

Signal Integrity Engineer

Fremont, CA

$182K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... for model refinement. * Assist with compliance testing and validation for industry-standard ... Experience supporting AI, GPU, server, storage, networking, or data center hardware platforms.

hyve solutions

Signal Integrity Engineer

Fremont, CA · On-site

$182K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... for model refinement. * Assist with compliance testing and validation for industry-standard ... Experience supporting AI, GPU, server, storage, networking, or data center hardware platforms.

hyve solutions

Signal Integrity Engineer

Fremont, CA · On-site

$182K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... for model refinement. * Assist with compliance testing and validation for industry-standard ... Experience supporting AI, GPU, server, storage, networking, or data center hardware platforms.

Jobsbridge

Data Architect

San Jose, CA

$74.75 - $96/hr

... assist technical staff in mastering techniques and best practices associated with data modeling ... Microsoft SQL Server, Oracle, or IBM DB2, involving implementation of database schemas, indexes ...

Roku

Senior Machine Learning Engineer, Voice Assistant

San Jose, CA · On-site

$229K - $367K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... servers, custom skills, or agent frameworks. And you can describe projects where you shipped real ... Familiarity and experience deploying and maintaining machine learning models (transformer-based ...

Roku

Senior Machine Learning Engineer, Voice Assistant

San Jose, CA · On-site

$229K - $367K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... servers, custom skills, or agent frameworks. And you can describe projects where you shipped real ... Familiarity and experience deploying and maintaining machine learning models (transformer-based ...

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Showing results 21-40

All JobsModel Server JobsModel Server Assistant JobsModel Server Assistant Jobs in San Ramon, CA

Model Server Assistant information

See San Ramon, CA salary details

$6

$15

$23

How much do model server assistant jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for model server assistant in San Ramon, CA is $15.00, according to ZipRecruiter salary data. Most workers in this role earn between $10.77 and $16.92 per hour, depending on experience, location, and employer.

What is a model server assistant?

Model Server Assistants are specialized software tools or agents designed to help manage, deploy, and maintain machine learning models on server infrastructure. They facilitate tasks such as model versioning, scaling, monitoring, and providing APIs for real-time inference. By automating these processes, Model Server Assistants make it easier for organizations to integrate machine learning models into production environments and ensure they run efficiently and reliably.

How does a model server assistant typically collaborate with data scientists and engineers on machine learning projects?

As a Model Server Assistant, you will work closely with data scientists to ensure machine learning models are properly deployed, monitored, and maintained in production environments. Your responsibilities often include updating model versions, troubleshooting deployment issues, and optimizing server performance. You’ll also collaborate with engineers to integrate models into existing systems and automate workflows, making strong communication and teamwork skills essential. This cross-functional collaboration not only helps you learn from experienced professionals but also opens up opportunities for growth into more specialized roles in machine learning operations.

What are the key skills and qualifications needed to thrive as a model server assistant, and why are they important?

To thrive as a Model Server Assistant, you need a strong understanding of machine learning models, server deployment, and basic programming skills, usually supported by a degree in computer science or a related field. Familiarity with tools like Docker, TensorFlow Serving, Kubernetes, and cloud platforms is typically required. Attention to detail, effective communication, and problem-solving abilities help set candidates apart in this role. These skills ensure efficient deployment, reliable model performance, and smooth collaboration between data science and engineering teams.

What is the difference between Model Server Assistant vs Model Trainer?

AspectModel Server AssistantModel Trainer
CredentialsTypically requires basic technical certifications or training in AI/ML support rolesOften requires advanced degrees or certifications in machine learning or data science
Work EnvironmentSupports model deployment and server management in data centers or cloud environmentsFocuses on developing and training models in labs or development environments
Employer & IndustryTech companies, AI service providers, cloud platformsResearch institutions, AI startups, tech firms

The Model Server Assistant primarily supports the deployment and maintenance of AI models on servers, ensuring smooth operation. In contrast, the Model Trainer focuses on developing and training models from scratch. While both roles require technical knowledge, the Model Server Assistant emphasizes support and management, whereas the Model Trainer emphasizes development and experimentation.

Do model server assistants make a lot of money?

Model server assistants typically earn entry-level wages that are below average for many jobs, with pay often ranging from minimum wage to moderate hourly rates depending on the employer and location. The role usually involves supporting model shoots or events and may require basic skills or certifications, but it is not generally considered a high-paying position.

What cities near San Ramon, CA are hiring for Model Server Assistant jobs?

Cities near San Ramon, CA with the most Model Server Assistant job openings:

Model Server Assistant jobs near you

Service Now Sr. Consultant

Noblesoft Technologies

Milpitas, CA • On-site

Contractor

Re-posted 12 days ago

Job description

Role –  Service Now Sr. Consultant

Location – Milpitas, CA or Ann Arbor, CA (Onsite)

Job Description

Role Overview
We are seeking a senior ServiceNow Technical Management Consultant to architect, lead, and execute the enterprise ServiceNow platform. This role serves as the hands‑on technical authority responsible for platform vision, roadmap, and delivery, with a strong focus on CMDB, ITOM, ITAM, integrations, and AI‑driven capabilities. The consultant will drive platform engineering while leading technical teams and partnering closely with infrastructure, security, and enterprise stakeholders.

Key Responsibilities

  • Own ServiceNow platform architecture, technical strategy, and multi‑year roadmap
  • Act as the technical authority for CMDB, ITOM, and ITAM implementations
  • Architect and deliver an enterprise CMDB aligned to CSDM, including CI models, relationships, normalization, reconciliation, and data governance
  • Lead ITOM engineering including Discovery, Service Mapping, Event Management, and AIOps
  • Architect ITAM solutions covering hardware, software, SaaS, and cloud asset lifecycles
  • Design and govern integrations using Integration Hub, APIs, and event‑based patterns
  • Execute end‑to‑end delivery from technical design through production deployment
  • Ensure platform performance, scalability, security, and upgrade readiness
  • Leverage ServiceNow AI capabilities such as Predictive Intelligence, Virtual Agent, AI Search, and Now Assist
  • Lead and supervise developers, business analysts, administrators, contractors, and system integrators
  • Conduct architecture, configuration, and code reviews and enforce platform standards
  • Partner with Cybersecurity, Identity, Server, Network, Datacenter, End User Computing, Procurement, Legal, and Asset Management teams
  • Translate business and operational requirements into scalable technical solutions

Minimum Qualifications

  • 8–12+ years of hands‑on ServiceNow platform experience
  • Proven enterprise delivery of CMDB, ITOM, and ITAM programs
  • Deep knowledge of ServiceNow data architecture, CI modeling, and service mapping
  • Strong experience with Discovery, MID Server design, integration, and automation
  • Advanced ServiceNow scripting and JavaScript skills
  • Experience leading technical teams and managing vendors or contractors
  • Strong execution mindset with accountability for delivery outcomes

Preferred Qualifications

  • ServiceNow certifications (CSA, CIS, CAD; CTA preferred)
  • Experience with AIOps and AI‑enabled ServiceNow capabilities
  • Background in large‑scale enterprise transformations or platform modernization
  • Senior‑level consultant / technical leadership role with hands‑on delivery responsibility.