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Tokenization Jobs in Florida (NOW HIRING)

Advita Ortho

Software Engineer

Gainesville, FL · On-site

Solid understanding of LLM fundamentals including transformer architectures, tokenization, embeddings, attention mechanisms, and fine-tuning techniques. * Familiarity with data preparation, feature ...

Tampa Electric

Data Analytics Architect

Tampa, FL · On-site

... tokenization. • The Data Architect translates user requirements into data models and supporting applications by guiding data analysts in source analysis, advising ETL developers, and designing ...

Blossom

Project Manager, Card Program Implementations

FL · On-site +1

$85K - $100K/yr

Familiarity with Visa and Mastercard rulebooks, scheme mandate cycles, PCI DSS, tokenization, 3-D Secure, and digital wallet provisioning (Apple Pay, Google Pay, Samsung Pay). * Proficiency with ...

PLACE

Real Estate Agent

Ocala, FL · On-site

$80K - $90K/yr

Real Estate Tokenization Project Expertise Our Philosophy: People Over Profit, Culture Over Cash We believe that true success in real estate isn't measured by commission checks but by the impact we ...

Mad Mobile Inc

Director, Risk and Compliance

Tampa, FL · On-site

Align with industry practices such as tokenization, encryption, and layered payment security used by companies like Shift4 4. Regulatory & Audit Oversight * Lead internal and external audits (PCI ...

Co-op Solutions

Data Architect - REMOTE

Tallahassee, FL · Remote

$110.10K - $143.10K/yr

Best practices for encryption, tokenization, data development, and access control within a PCI (Payment Card Industry) environment. * Ability to analyze enterprise level data sources and determine ...

PLACE

Real Estate Agent

Lake Mary, FL · On-site

$80K - $90K/yr

Real Estate Tokenization Project Expertise Our Philosophy: People Over Profit, Culture Over Cash We believe that true success in real estate isn't measured by commission checks but by the impact we ...

DTCC

Director, Data Protection

Tampa, FL · Hybrid

Ensure appropriate controls (e.g., encryption, masking, tokenization, access restrictions) are embedded before go-live. * Serve as a trusted advisor who enables the business to use data confidently ...

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All JobsTokenization JobsTokenization Jobs in Florida

Tokenization information

See Florida salary details

$11.2K

$180.3K

$289.2K

How much do tokenization jobs pay per year?

As of May 31, 2026, the average yearly pay for tokenization in Florida is $180,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,500.00 and $224,200.00 per year, depending on experience, location, and employer.

What is a Tokenization job?

A Tokenization job typically involves working with financial transactions, data security, or blockchain technology to convert sensitive data into secure, non-sensitive equivalents called tokens. Professionals in this role implement tokenization systems to protect sensitive information, such as credit card numbers or personal data, from fraud or breaches. They may work with compliance teams to ensure adherence to data security regulations. The job often requires expertise in encryption, cybersecurity, and payment processing technologies.

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

To thrive in a tokenization role, candidates need a solid understanding of payment card industry (PCI) standards, data security protocols, and encryption technologies, often supported by a computer science degree or relevant certifications like CISSP or CISM. Technical proficiency with tokenization platforms, cybersecurity tools, and payment processing systems is typically required. Strong analytical skills, attention to detail, and effective communication abilities are valuable soft skills for collaborating across IT and business teams. These skills are essential for protecting sensitive data, ensuring compliance, and implementing secure, seamless payment solutions.

What are some typical challenges faced in a tokenization role?

One of the main challenges in a tokenization role is staying ahead of evolving cybersecurity threats while ensuring that payment and sensitive data remain secure and compliant with industry regulations. Professionals in this role often need to balance the demands of integrating tokenization solutions with existing IT infrastructures and minimizing disruptions to business operations. Working closely with cross-functional teams—including developers, compliance officers, and external vendors—requires strong communication and project management skills. By proactively addressing these challenges, tokenization specialists play a pivotal role in protecting valuable data assets and fostering customer trust.
More about Tokenization jobs
What are the most commonly searched types of Tokenization jobs in Florida? The most popular types of Tokenization jobs in Florida are:
What are popular job titles related to Tokenization jobs in Florida? For Tokenization jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Tokenization jobs in Florida look for? The top searched job categories for Tokenization jobs in Florida are:
What cities in Florida are hiring for Tokenization jobs? Cities in Florida with the most Tokenization job openings:
Tokenization jobs near you
Infographic showing various Tokenization job openings in Florida as of May 2026, with employment types broken down into 100% Full Time. Highlights an 39% In-person, 21% Hybrid, and 40% Remote job distribution, with an average salary of $180,318 per year, or $86.7 per hour.

Software Engineer

Advita Ortho

Gainesville, FL • On-site

Full-time

Posted 5 days ago

Job description

Software Engineer
Department: Information Technology
Employment Type: Permanent - Full Time
Location: Gainesville, FL
Reporting To: Senior Director Software Engineering
Description
The Software Engineer will leverage extensive complaint and quality data within the complaint management system to train, fine-tune, and deploy AI models that enhance complaint detection, classification, coding accuracy, and resolution recommendations. This individual will contribute to a lean, high-impact engineering team by applying foundational knowledge of machine learning, large language models (LLMs), and modern web development to real-world use cases. The role is hands-on and execution-focused, providing direct exposure to senior leadership and meaningful project ownership
Key Responsibilities
AI/ML Model Development & Training
  • Work with large volumes of complaint data to train and fine-tune LLM-based models for automated complaint detection, classification, and coding.
  • Develop and iterate on models that generate intelligent suggestions for complaint resolution, root cause analysis, and corrective/preventive actions (CAPA).
  • Prepare, clean, and structure training datasets from existing complaint records to optimize model performance.
  • Evaluate model accuracy, precision, and recall using appropriate metrics; continuously improve model quality through iterative training cycles.
  • Explore and implement retrieval-augmented generation (RAG) architectures and prompt engineering techniques to enhance model output relevance.

System Integration & API Development
  • Develop and maintain RESTful APIs to serve model predictions and recommendations within existing workflows.
  • Collaborate with the team to embed AI capabilities into enterprise applications, ensuring seamless user experiences.

Web Application Development
  • Contribute to front-end development using React and modern JavaScript/TypeScript frameworks.
  • Support back-end development with Node.js, building services that connect AI capabilities to user-facing applications.
  • Participate in code reviews, testing, and deployment processes following team standards.

Collaboration & Growth
  • Work closely with the Senior Director of Software Engineering, or designee, to align AI initiatives with organizational strategy.
  • Stay current with advancements in LLM architectures, fine-tuning methodologies, and AI tooling.
  • Document models, training processes, and integration patterns for knowledge sharing and regulatory compliance.

Skills Knowledge and Expertise
Education:
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field

Experience:
  • Hands-on experience (academic or personal projects) with Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
  • Experience with cloud-based ML platforms (Azure ML, Google Vertex AI, or AWS SageMaker).
  • Understanding of natural language processing (NLP) concepts including text classification, named entity recognition, and sentiment analysis.
  • Exposure to vector databases (Pinecone, ChromaDB, Weaviate) and RAG pipeline architectures.
  • Exposure to RESTful API design and integration patterns.
  • Experience with Git version control and CI/CD workflows.

Functional/Technical Knowledge, Skills and Abilities Required:
  • Strong problem-solving skills with a willingness to learn and adapt quickly in a fast-paced environment.
  • Solid understanding of LLM fundamentals including transformer architectures, tokenization, embeddings, attention mechanisms, and fine-tuning techniques.
  • Familiarity with data preparation, feature engineering, and model evaluation methodologies.
  • Working knowledge of React and Node.js for web application development.
  • Strong problem-solving skills with a willingness to learn and adapt quickly in a fast-paced environment.
  • Familiarity with fine-tuning approaches using models such as Google Gemini, OpenAI GPT, or similar foundation models
  • Knowledge of medical device industry regulations (FDA, ISO 13485) or quality management systems is a plus.
  • Familiarity with SQL and relational database concepts.

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