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Face Models Jobs in Florida (NOW HIRING)

Nice-to-Have Generative AI deployment experience using Amazon Bedrock, Open AI, Anthropic, or Hugging Face models. Experience with LLM deployment, vector databases, and RAG architectures. Knowledge ...

New

Data Modeling ,

Tampa, FL · On-site

$51.75 - $67/hr

Experience in developing, validating, publishing, maintaining LOGICAL data models with exposure to ... Should be able to communicate by telephone, email or face to face. Travel may be required as per ...

... model. Our mission is to empower guests to look and feel their best by delivering exceptional skincare experiences, innovative treatments, and personalized care in a welcoming environment. At FACE ...

... model. Our mission is to empower guests to look and feel their best by delivering exceptional skincare experiences, innovative treatments, and personalized care in a welcoming environment. At FACE ...

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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 Aug 9, 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 the requirements for a face model?

Face models typically need clear, symmetrical facial features, good skin condition, and a versatile appearance to suit various projects. No formal education is required, but a professional portfolio or headshots are often necessary to demonstrate suitability. Physical fitness and the ability to follow directions are also important for fitting and photo sessions.

How do you get into face modeling?

To become a face model, individuals typically build a portfolio with professional photographs that showcase their facial features, often working with photographers or agencies. Having clear skin, symmetrical features, and good skin care are important, and some models may need to attend casting calls or sign with a modeling agency to find opportunities.
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 July 2026, with employment types broken down into 75% Full Time, 12% Part Time, 1% Temporary, and 12% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $71,057 per year, or $34.2 per hour.

$45/hr

Other

Posted 3 days ago

New


Job description

Job title: AWS DevOps Engineer (AI/ML & MLOps)
Work Location: Tampa, FL
Rate: $45/hr w2
Client: Infosys (Visa Independent candidates)
Position: 2
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
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 Sage Maker 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, Open AI, 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.
Job Title: Senior Java Full Stack Developer
Work Location : Charlotte, NC 28202
Rate: $38/hr w2
Client: Infosys (Visa Independent candidates)
Position: 2
Contract duration (in months)* 11
Job Details:
Must Have Skills (Top 3 technical skills only) *
1. Java 81117
2. Spring Data JPA Hibernate
3. REST API Development
Nice to have skills (Top 2 only)
1. SQL
2. PostgreSQL
Detailed Job Description:
Design, develop, test, and deploy full stack web applications. Build scalable backend services using Java and Spring Boot. Develop responsive and user-friendly UI using Angular, React, or similar frameworks. Create and consume RESTful APIs and microservices. Collaborate with business analysts, architects, and QA teams. Participate in code reviews and ensure adherence to coding standards. Optimize application performance and troubleshoot production issues. Work with CICD pipelines and DevOps practices.
Minimum years of experience*: >10 years
Certifications Needed: No
Top 3 responsibilities you would expect the Subcon to shoulder and execute*:
1. Develop responsive and user-friendly UI using Angular, React, or similar frameworks.
2. Create and consume RESTful APIs and microservices.
3. Develop secure and high performing applications following industry best practices.
Interview Process (Is face to face required?)
No