Data Scientist Visa Sponsorship Jobs in Florida
Florida's data scientist job market spans healthcare analytics in Miami, defense and aerospace data roles in Orlando, and fintech operations in Tampa. Major employers including Lockheed Martin, AdventHealth, and Citigroup have sponsored data scientist positions in the state, making Florida a meaningful destination for international candidates seeking visa sponsorship.
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Get Access To All JobsRole Summary:
We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.
Technical Stack:
LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.
Frameworks: LangChain, LlamaIndex, and Hugging Face.
Orchestration: LangGraph and Multi-Agent Systems (MAS).
Development: Python, FastAPI, and Asynchronous Programming.
RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.
Deployment: Docker, Production API management, and LLM monitoring.
Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.
Key Responsibilities:
- Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.
- Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.
- Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.
- Design and deploy high-performance, scalable backend services using FastAPI and Async Python.
- Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.
- Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.
- Containerize and deploy AI services via Docker to production environments.
Required Qualifications:
- 5 years of hands-on experience building and deploying GenAI applications in a production setting.
- Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).
- Experience with vector search, embedding models, and advanced data retrieval patterns.
- Knowledge of model fine-tuning techniques and local LLM quantization/hosting.
- Familiarity with production-grade monitoring, API security, and CI/CD for ML.
Compensation, Benefits and Duration
-
Minimum Compensation: USD 56,000
-
Maximum Compensation: USD 196,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors.
No applications will be considered if received more than 120 days after the date of this post.
Role Summary:
We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.
Technical Stack:
LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.
Frameworks: LangChain, LlamaIndex, and Hugging Face.
Orchestration: LangGraph and Multi-Agent Systems (MAS).
Development: Python, FastAPI, and Asynchronous Programming.
RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.
Deployment: Docker, Production API management, and LLM monitoring.
Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.
Key Responsibilities:
- Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.
- Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.
- Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.
- Design and deploy high-performance, scalable backend services using FastAPI and Async Python.
- Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.
- Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.
- Containerize and deploy AI services via Docker to production environments.
Required Qualifications:
- 5 years of hands-on experience building and deploying GenAI applications in a production setting.
- Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).
- Experience with vector search, embedding models, and advanced data retrieval patterns.
- Knowledge of model fine-tuning techniques and local LLM quantization/hosting.
- Familiarity with production-grade monitoring, API security, and CI/CD for ML.
Compensation, Benefits and Duration
-
Minimum Compensation: USD 56,000
-
Maximum Compensation: USD 196,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors.
No applications will be considered if received more than 120 days after the date of this post.
Data Scientist Job Roles in Florida
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Search Data Scientist Jobs in FloridaData Scientist Jobs in Florida: Frequently Asked Questions
Which companies in Florida sponsor visas for data scientists?
Several large Florida employers have established track records of sponsoring H-1B visas for data scientists. These include AdventHealth, Orlando Health, and Baptist Health in healthcare analytics; Lockheed Martin and L3Harris in defense and aerospace; and Citigroup and Raymond James in financial services. University systems such as the University of Florida and University of Miami also sponsor data science roles through academic and research appointments.
Which cities in Florida have the most data scientist visa sponsorship jobs?
Miami leads Florida for data scientist sponsorship activity, driven by its growing fintech sector and proximity to Latin American business operations. Orlando follows closely, supported by defense contractors, healthcare systems, and the University of Central Florida research ecosystem. Tampa is a third concentration point, particularly in financial services and health insurance analytics. Jacksonville and Gainesville also have meaningful activity through healthcare networks and university research programs.
Which visa types are most commonly used for data scientist roles in Florida?
The H-1B is the most common visa category for data scientist positions in Florida, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Some international candidates also enter through the OPT or STEM OPT extensions before transitioning to H-1B sponsorship. Candidates from Australia may be eligible for the E-3 visa, and those from Canada or Mexico may qualify under the TN visa category.
How to find data scientist visa sponsorship jobs in Florida?
Migrate Mate is built specifically for international candidates and filters data scientist roles in Florida by visa sponsorship status, so you can focus only on employers actively open to sponsoring. Rather than sorting through thousands of listings where sponsorship is unclear, Migrate Mate surfaces verified sponsorship opportunities. Filtering by Florida and the data scientist role type narrows the results to the cities and industries most relevant to your background and timeline.
Are there any Florida-specific considerations for data scientists seeking visa sponsorship?
Florida has no state income tax, which affects how employers structure compensation benchmarks, but prevailing wage requirements under the H-1B program are still determined by the Department of Labor using metropolitan area data for cities like Miami, Orlando, and Tampa. Florida's heavy concentration of healthcare and defense employers means data scientist roles often require domain knowledge in those sectors, which can strengthen a sponsorship case. Florida's large university research pipeline also means academic institutions are a practical entry point for international data scientists.
What is the prevailing wage for sponsored data scientist jobs in Florida?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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