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Model Server Assistant Jobs in Key Biscayne, FL (NOW HIRING)

AgileEngine

AI Platform Tech Lead ID84742

Miami, FL

Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise ... servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI ...

HTC Global Services

.NET Solution Architect

Doral, FL · On-site

$58.25 - $76.75/hr

SQL Server * PostgreSQL or MySQL * NoSQL databases (preferred) Integration & Messaging * Kafka ... AI copilots and intelligent assistants * Understanding of: * Retrieval-Augmented Generation (RAG)

RaceTrac, Inc.

Shift Manager - (RT491)

Pembroke Park, FL · On-site

$13.75 - $17.25/hr

Willingness to obtain and maintain required permits (food handlers, alcohol server, etc.) Fueled by ... Model teamwork by arriving on time for scheduled shifts, willingly stepping in to assist during ...

RaceTrac, Inc.

Shift Manager - (RT2519)

Miami, FL · On-site

$14.25 - $18.25/hr

Willingness to obtain and maintain required permits (food handlers, alcohol server, etc.) Fueled by ... Model teamwork by arriving on time for scheduled shifts, willingly stepping in to assist during ...

RACETRAC PETROLEUM

Shift Manager - (RT491)

Hollywood, FL

$13.75 - $17.25/hr

Willingness to obtain and maintain required permits (food handlers, alcohol server, etc.) Fueled by ... Model teamwork by arriving on time for scheduled shifts, willingly stepping in to assist during ...

RACETRAC PETROLEUM

Shift Manager - (RT2519)

Miami, FL · On-site

$14.25 - $18.25/hr

Willingness to obtain and maintain required permits (food handlers, alcohol server, etc.) Fueled by ... Model teamwork by arriving on time for scheduled shifts, willingly stepping in to assist during ...

Lennar

AI Agent Developer, ServiceNow

Miami, FL

$51.75 - $71/hr

... Now Assist credentials. * Working knowledge of the ServiceNow HRSD data model - HR Cases, HR ... Solid scripting ability in JavaScript (server- and client-side glide scripting) and comfort reading ...

Lennar

AI Agent Developer, ServiceNow

Miami, FL · On-site

$51.75 - $71/hr

... Now Assist credentials. * Working knowledge of the ServiceNow HRSD data model - HR Cases, HR ... Solid scripting ability in JavaScript (server- and client-side glide scripting) and comfort reading ...

Cinépolis Luxury Cinemas

Service Manager

Miami, FL · On-site

Assistant General Manager JOB SUMMARY The Service Manager is a brand ambassador who reinforces the ... Guest Services, Servers, Bartenders, Runners, and Concessions. Provide excellent guest experience ...

Cinépolis Luxury Cinemas

Service Manager

Miami, FL · On-site

Assistant General Manager JOB SUMMARY The Service Manager is a brand ambassador who reinforces the ... Guest Services, Servers, Bartenders, Runners, and Concessions. Provide excellent guest experience ...

Cinépolis Luxury Cinemas

Service Manager

Miami, FL · On-site

Assistant General Manager JOB SUMMARY The Service Manager is a brand ambassador who reinforces the ... Guest Services, Servers, Bartenders, Runners, and Concessions. Provide excellent guest experience ...

RaceTrac

Shift Manager - (RT102)

Pembroke Park, FL · On-site

$13.75 - $17.25/hr

Provide clear direction and step in to assist with food service, stocking, cleaning, or cash ... Lead shift change communication and ensure team alignment throughout the day Model Communication ...

RaceTrac

Shift Manager - (RT2576)

Miami, FL · On-site

$15.25 - $19.25/hr

Provide clear direction and step in to assist with food service, stocking, cleaning, or cash ... Lead shift change communication and ensure team alignment throughout the day Model Communication ...

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Showing results 41-60

All JobsModel Server JobsModel Server Assistant JobsModel Server Assistant Jobs in Key Biscayne, FL

Model Server Assistant information

See Key Biscayne, FL salary details

$5

$12

$19

How much do model server assistant jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for model server assistant in Key Biscayne, FL is $12.50, according to ZipRecruiter salary data. Most workers in this role earn between $8.94 and $14.09 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 Key Biscayne, FL are hiring for Model Server Assistant jobs?

Cities near Key Biscayne, FL with the most Model Server Assistant job openings:

Model Server Assistant jobs near you

AI Platform Tech Lead ID84742

AgileEngine

Miami, FL

Full-time

Posted 12 days ago

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise.

WHAT YOU WILL DO
- Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations.
- Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks.
- Translate business needs into technical designs, prototypes, and production-ready AI capabilities.
- Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems.
- Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions.
- Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements.
- Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding.
- Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management.
- Troubleshoot complex AI platform, integration, connector, and data-retrieval issues.
- Establish standards for AI agents, integrations, configurations, testing, deployment, and security.
- Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point.
- Evaluate emerging AI capabilities and provide technical recommendations to platform leadership.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 6+ years of experience in development roles, with hands-on experience as a Tech Lead.
- Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations.
- Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls.
- Proven ability to move solutions from proof of concept to stable, supportable production services.
- Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms.
- Working knowledge of enterprise security, privacy, compliance, and data-governance principles.
- Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms.
- Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products.
- Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management.
- Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills.
- Ability to lead technically through expertise and influence without direct people-management authority.
- Upper-intermediate English level.

NICE TO HAVES
- Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers.
- Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability.
- Software development experience with Python, TypeScript, JavaScript, or similar languages.
- Experience creating MCP servers or integrating MCP-compatible clients and tools.
- Experience operating an enterprise AI platform or supporting an internal AI enablement program.
- Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies.

PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location