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Model Validation Jobs in Florida (NOW HIRING)

SOSi

Data Science Lead

Doral, FL · On-site

The contractor shall submit the Predictive Analytics Strategy & Implementation Report, detailing model development progress, algorithm validation, and mission integration. * The contractor shall ...

SOSi

Data Science Lead

Doral, FL · On-site

The contractor shall submit the Predictive Analytics Strategy & Implementation Report, detailing model development progress, algorithm validation, and mission integration. * The contractor shall ...

SOSi

Data Science Lead

Doral, FL · On-site

The contractor shall submit the Predictive Analytics Strategy & Implementation Report, detailing model development progress, algorithm validation, and mission integration. * The contractor shall ...

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Showing results 41-60

All JobsModel Validation JobsModel Validation Jobs in Florida

Model Validation information

See Florida salary details

$16

$38

$58

How much do model validation jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for model validation in Florida is $38.86, according to ZipRecruiter salary data. Most workers in this role earn between $29.47 and $47.26 per hour, depending on experience, location, and employer.

What is a model validation?

A Model Validation job involves assessing and verifying the accuracy, reliability, and performance of mathematical and statistical models used in finance, risk management, or other industries. Professionals in this role conduct independent testing, evaluate assumptions, and ensure models comply with regulatory and internal standards. They identify weaknesses, suggest improvements, and help mitigate potential risks associated with model usage. Model validators often work with machine learning models, credit risk models, or trading algorithms, depending on the industry.

What are the key skills and qualifications needed to thrive in the model validation position, and why are they important?

To thrive as a Model Validation professional, you need strong quantitative, statistical, and analytical skills, often supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with programming languages such as Python or R, statistical modeling software, and familiarity with regulatory guidelines like SR 11-7 or CCAR is essential. Outstanding attention to detail, problem-solving abilities, and clear communication are valuable soft skills in this role. These competencies are crucial for rigorously assessing complex models, documenting findings, and collaborating effectively with model developers and risk management teams.

What are some common challenges faced by professionals in model validation roles?

One common challenge in Model Validation is staying up-to-date with evolving regulatory requirements and industry best practices, which can impact how models should be tested and documented. Model validators often work with highly complex financial or risk models, requiring strong analytical skills to assess underlying assumptions and potential risks. Additionally, balancing the need for thoroughness with tight deadlines and collaborating with model developers to address issues can be demanding. However, overcoming these challenges offers valuable opportunities to build expertise, work cross-functionally, and play a critical role in ensuring the integrity and reliability of key business decisions.

What are the most commonly searched types of Model Validation jobs in Florida?

The most popular types of Model Validation jobs in Florida are:

What are popular job titles related to Model Validation jobs in Florida?

For Model Validation jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Model Validation jobs in Florida look for?

The top searched job categories for Model Validation jobs in Florida are:

What cities in Florida are hiring for Model Validation jobs?

Cities in Florida with the most Model Validation job openings:

Model Validation jobs near you
Infographic showing various Model Validation job openings in Florida as of September 2026, with employment types broken down into 84% Full Time, 3% Part Time, 10% Contract, and 3% Nights. Highlights an 87% In-person, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,821 per year, or $38.9 per hour.

Information Technology_USA - USA_Engineer

Jacksonville, FL • On-site

Real Soft, Inc.
IT Services • 501 - 1,000 employees
Learn more about Real Soft, Inc.external

Contractor

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Woonsocket, RI
Duration: 6 months
skill id: 10721291
Experience:
5-15 years (configurable)
Role Overview
We are seeking a highly skilled AI Engineer to design, develop, deploy, and scale Artificial Intelligence and Machine Learning solutions that drive measurable business outcomes. The role focuses on applying ML, Deep Learning, and Generative AI capabilities to solve complex enterprise problems and integrate AI solutions into production systems.
Key Responsibilities
• Design, build, train, evaluate, and deploy machine learning and deep learning models
• Develop LLM-based solutions including prompt engineering, RAG, embeddings, and fine-tuning
• Perform data preprocessing, feature engineering, and model validation
• Deploy AI solutions using MLOps, CI/CD, Docker, and Kubernetes
• Integrate AI models into microservices and enterprise platforms
• Collaborate with business and delivery teams to translate requirements into AI use cases
• Ensure compliance with security, privacy, and responsible AI standards
Required Technical Skills
• Strong fundamentals in Machine Learning, Deep Learning, and Statistics
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Experience with LLMs and Generative AI frameworks
• Exposure to Cloud platforms (Azure/AWS/GCP)
• Knowledge of APIs, microservices, Docker, Kubernetes
Preferred Skills
• Experience in Retail or Enterprise Transformation programs
• Knowledge of MLOps and Model Governance
• Exposure to Agile delivery environments
Soft Skills
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management
• Continuous learning mindset
Success Metrics
• Delivery of scalable, reliable AI solutions
• Measurable business impact from AI initiatives
• Strong collaboration with cross-functional teams
Skills: Digital : Python ~ Digital : Machine Learning ~ AI Agents ~ AI & Gen AI - Products & Tools, Project Code :

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