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Face Models Jobs in Florida (NOW HIRING)

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Face Models information

See Florida salary details

$7

$34

$106

How much do face models jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for face models in Florida is $34.16, according to ZipRecruiter salary data. Most workers in this role earn between $11.15 and $53.89 per hour, depending on experience, location, and employer.

What is the difference between Face Models vs Makeup Models?

AspectFace ModelsMakeup Models
Required CredentialsMinimal; often based on appearance and skin conditionMinimal; focus on makeup application and skin suitability
Work EnvironmentPhoto shoots, fashion shows, advertisingPhoto shoots, beauty campaigns, runway shows
Industry UsageFashion, advertising, beautyBeauty, cosmetics, fashion
Search & Comparison IntentPeople seeking face modeling opportunities or infoPeople comparing face models and makeup models roles

Face models primarily focus on showcasing facial features for various media, requiring minimal credentials. Makeup models, on the other hand, are used to display makeup products and techniques. Both roles are common in fashion and beauty industries, often overlapping in photo shoots and campaigns. Understanding these differences helps individuals identify the right modeling path based on their appearance and career goals.

What are popular job titles related to Face Models jobs in Florida?

For Face Models jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Face Models jobs in Florida look for?

The top searched job categories for Face Models jobs in Florida are:

What cities in Florida are hiring for Face Models jobs?

Cities in Florida with the most Face Models job openings:

Infographic showing various Face Models job openings in Florida as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $71,057 per year, or $34.2 per hour.

Lead Consultant | Cloud Platform | Amazon Webservices DevOps

Tampa, FL โ€ข On-site

Spruce Infotech
IT Servicesย โ€ขย 1 - 10 employees

Full-time

Re-posted 4 days ago


Job description

POC: Bharath Subramanya
******ATTENTION ALL SUPPLIERS******
READ BEFORE SUBMITTING:
โ€ข UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
โ€ข Limited to 2 submission per supplier. Please submit your best.
โ€ข We prioritize endorsing those with complete and accurate information
โ€ข Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
โ€ข Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open.
MANDATORY: Please include in the resume the candidate's complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.
Job title: AWS + Terraform with AI
Work Location: Tampa, FL
XXX/hr
Minimum years of experience: 8+ Yrs
Would you require the candidates to meet you for in person interview? No
Is Skype/WebEx interview,OK? OK
Is this onsite/remote position: Hybrid
If onsite, will you be considering relocation candidates: No
Does this position require Visa independent candidates only? Yes
Job Description:
We are looking for an experienced AWS DevOps Engineer with strong expertise in Terraform, CI/CD automation, and AI/ML platform deployment. The ideal candidate will be responsible for building, automating, and managing scalable cloud infrastructure on AWS while enabling AI/ML workloads through robust DevOps practices. This role requires hands-on experience in Infrastructure as Code (IaC), containerization, cloud-native technologies, MLOps, and automation.
Key Responsibilities
Cloud Infrastructure & Automation
Design, deploy, and manage highly available and secure AWS cloud environments.
Develop and maintain Infrastructure as Code (IaC) using Terraform.
Automate cloud provisioning, configuration management, and environment setup.
Implement cloud governance, security, compliance, and cost optimization strategies.
DevOps & CI/CD
Design and manage CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI/CD, or AWS CodePipeline.
Automate application deployments across development, testing, and production environments.
Implement GitOps and DevSecOps best practices.
Manage source control repositories and branching strategies.
AI/ML & MLOps
Deploy, automate, and manage AI/ML solutions on AWS.
Support ML lifecycle management, including model training, validation, deployment, and monitoring.
Work with Amazon SageMaker for model development and deployment.
Implement MLOps pipelines for continuous model integration and delivery.
Collaborate with Data Scientists and AI Engineers to operationalize machine learning models.
Containerization & Orchestration
Build and manage containerized workloads using Docker.
Deploy and manage Kubernetes clusters using Amazon EKS.
Implement Helm charts and Kubernetes best practices for scalable deployments.
Monitoring & Security
Configure monitoring, logging, and alerting using CloudWatch, Prometheus, Grafana, and ELK Stack.
Implement IAM policies, security controls, secrets management, and vulnerability scanning.
Monitor infrastructure health and optimize system performance.
Nice-to-Have
Generative AI deployment experience using Amazon Bedrock, OpenAI, Anthropic, or Hugging Face models.
Experience with LLM deployment, vector databases, and RAG architectures.
Knowledge of LangChain, AI Agents, and AI workflow automation.
Exposure to Data Engineering tools such as Glue, Athena, EMR, or Redshift.
Experience implementing AI governance and model security frameworks.
Project Code: Application Support Services HydSEZ1