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Model Hostess Jobs in California (NOW HIRING)

Host/Hostess

Pismo Beach, CA · On-site

$16.90/hr

... Hostess - The Cliffs Hotel & Spa The Cliffs Hotel & Spa is the premier oceanfront hotel on the ... They will successfully model The Cliffs' Mission and Values as they engage with the guests in their ...

Host/Hostess

Pismo Beach, CA

$15 - $20.50/hr

... Hostess - The Cliffs Hotel & Spa The Cliffs Hotel & Spa is the premier oceanfront hotel on the ... They will successfully model The Cliffs' Mission and Values as they engage with the guests in their ...

Host/Hostess

Pismo Beach, CA · On-site

$16.90/hr

... Hostess - The Cliffs Hotel & Spa The Cliffs Hotel & Spa is the premier oceanfront hotel on the ... They will successfully model The Cliffs' Mission and Values as they engage with the guests in their ...

AI-Native Infrastructure - Partner with engineering and IT on connectors, permissions, local model hosting, monitoring, and secure deployment. * Technical Chief of Staff Execution - Turn ambiguous AI ...

... Hostess / Guest Services Reports To: Floor Manager / Assistant General Manager / General Manager ... Participate in pre-shifts and trainings, model JAG values, inclusivity, and professionalism.

... Hostess / Guest Services Reports To: Floor Manager / Assistant General Manager / General Manager ... Participate in pre-shifts and trainings, model JAG values, inclusivity, and professionalism.

AI-Native Infrastructure - Partner with engineering and IT on connectors, permissions, local model hosting, monitoring, and secure deployment. * Technical Chief of Staff Execution - Turn ambiguous AI ...

... model hosting, monitoring, and secure deployment. • Technical Chief of Staff Execution - Turn ambiguous AI-native priorities into clear systems, owners, workflows, and execution rhythms. • In ...

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Showing results 1-20

Model Hostess information

See California salary details

$8

$15

$20

How much do model hostess jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for model hostess in California is $15.65, according to ZipRecruiter salary data. Most workers in this role earn between $13.27 and $17.79 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Model Hostess, and why are they important?

To thrive as a Model Hostess, you need a polished appearance, strong interpersonal skills, and prior experience in hospitality or customer service, often supported by training in etiquette or event hosting. Familiarity with event management tools, reservation systems, and basic POS software is typically required. Exceptional communication, adaptability, and a welcoming attitude help you stand out when interacting with guests and clients. These skills ensure guests have a positive experience, enhance the event's reputation, and contribute to smooth operations.

What is the difference between Model Hostess vs Promotional Model?

AspectModel HostessPromotional Model
CredentialsNone specific, often requires presentation skillsNone specific, often requires presentation skills
Work EnvironmentEvents, trade shows, fashion showsProduct launches, brand promotions, events
Industry UsageFashion, events, hospitalityMarketing, advertising, brand promotion
Common Search IntentModel Hostess vs Promotional Model

Model Hostesses primarily focus on representing brands at events with a focus on appearance and customer interaction, often in fashion or hospitality settings. Promotional Models are more involved in actively promoting products or brands during marketing campaigns. While both roles require strong presentation skills and customer service, their specific duties and environments differ slightly, making the comparison useful for job seekers and employers alike.

What is a Model Hostess?

A Model Hostess is a professional who represents brands, companies, or events by welcoming guests, providing information, and often enhancing the image of the event through their appearance and communication skills. They are typically hired for trade shows, promotional events, exhibitions, and corporate gatherings. Model Hostesses must have excellent interpersonal skills, a polished appearance, and the ability to engage with clients or attendees in a friendly and professional manner. Their role may also include distributing promotional materials, assisting with event logistics, and ensuring a positive guest experience.

How does a Model Hostess typically collaborate with event organizers and guests during high-profile events?

A Model Hostess works closely with event organizers to ensure guests feel welcomed and the event runs smoothly. This often involves greeting attendees, providing information, guiding guests to designated areas, and assisting with event flow as directed by organizers. Effective communication and professionalism are key, as Model Hostesses frequently act as the face of the event, representing both the brand and the venue. Collaboration with other hostesses, catering staff, and security is common, requiring adaptability and a team-oriented attitude.
What are popular job titles related to Model Hostess jobs in California? For Model Hostess jobs in California, the most frequently searched job titles are:
What job categories do people searching Model Hostess jobs in California look for? The top searched job categories for Model Hostess jobs in California are:
Infographic showing various Model Hostess job openings in California as of July 2026, with employment types broken down into 5% Locum Tenens, 3% Internship, 63% Full Time, 28% Part Time, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $32,557 per year, or $15.7 per hour.

LLMOps / MLOps Engineer (Need Locals only)

Cardinal Integrated Technologies Inc

Santa Clara, CA • On-site

Other

Posted 3 days ago

New


Job description

Hi,

Senior LLMOps / MLOps Engineer

Location: Santa Clara, CA (Onsite)

Duration: 6 - 12 Months

Must Have Skills

Skill 1 Strong proficiency in Python and software engineering best practices

Skill 2 14+ years of experience in MLOps, LLMOps, AI/ML Platform Engineering

Skill 3 Strong expertise in LLM Inferencing and Model Hosting using vLLM, SGLang, TGI, Triton, Ray Serve, Azure ML, or Databricks Model Serving

Good To have Skills

Skill 1 Exposure to AI Observability, Governance, and Responsible AI practices

Mandatory if Applicable

Domain Experience (If any) Senior LLMOps / MLOps Engineer

Summary

We are looking for a highly skilled Senior LLMOps / MLOps Engineer with strong expertise in LLM inferencing, model hosting, and serving Large Language Models (LLMs) at scale. The ideal candidate should be a hands-on engineer with proven experience deploying and optimizing open-source LLMs, building high-performance inference platforms using technologies such as vLLM, SGLang, TGI, Triton, and Ray Serve, and driving GPU utilization, latency, throughput, and cost optimization. This is a highly technical role requiring active involvement in designing, building, troubleshooting, and optimizing production AI systems. Experience in MLOps platforms and scalable AI infrastructure is essential.

Must-Have Skills

  • 5-7 years of experience in MLOps, LLMOps, AI/ML Platform Engineering.
  • Strong proficiency in Python and software engineering best practices.
  • Experience working with open-source LLMs such as Llama, Mistral, Gemma, or Qwen.
  • Strong expertise in LLM Inferencing and Model Hosting using vLLM, SGLang, TGI, Triton, Ray Serve, Azure ML, or Databricks Model Serving.
  • Experience with Kubernetes, Docker, Azure ML, Databricks, and MLflow.
  • Good understanding of RAG, Vector Databases, GPU Optimization, Quantization, KV Cache, PagedAttention, and ContinuoDynamic Batching.
  • Demonstrated hands-on experience building, deploying, troubleshooting, and optimizing production-grade LLM and GenAI solutions.
  • Experience deploying, scaling, and monitoring production-grade GenAI/LLM applications.
  • Exposure to AI Observability, Governance, and Responsible AI practices.

Good-to-Have Skills

  • Hands-on experience with LLM Fine-Tuning using PEFT, SFT, CPT, LoRA, and QLoRA techniques.
  • Experience with Azure AI Foundry, Azure OpenAI, Hugging Face, DeepSpeed, and PEFT.
  • Knowledge of distributed training and multi-GPU environments.
  • Experience with Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI.
  • Understanding of simulation platforms, digital twins, modeling & simulation workflows, or scientific computing.