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Vector Control Jobs in Florida (NOW HIRING)

... vector, raster, elevation/DEM, 3D features, and attribute data) for ingestion into Unreal Engine ... control, backups, and archiving of GIS datasets to support project iteration and long-term asset ...

... vector, raster, elevation/DEM, 3D features, and attribute data) for ingestion into Unreal Engine ... control, backups, and archiving of GIS datasets to support project iteration and long-term asset ...

Gen AI Technology Lead

Tampa, FL · On-site

$113K - $170K/yr

... control issues with transparency. * Deep expertise in Large Language Models (LLMs) including OpenAI, Gemini, Claude, Llama , and local/open-source models * Python, Large Language Models, RAG, Vector ...

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Vector Control information

See Florida salary details

$9

$19

$45

How much do vector control jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for vector control in Florida is $19.62, according to ZipRecruiter salary data. Most workers in this role earn between $12.45 and $21.45 per hour, depending on experience, location, and employer.

What are some typical daily responsibilities for someone working in Vector Control?

A typical day in Vector Control involves identifying and monitoring potential breeding sites for disease-carrying pests, applying pesticides in targeted areas, and documenting inspections and treatments conducted. You may also collect and analyze field data, educate community members about prevention strategies, and collaborate with public health officials or environmental agencies. Fieldwork is common, and you will often work both independently and as part of a team to ensure effective pest management. The role can require flexibility as priorities may shift seasonally or in response to local outbreaks, making adaptive problem-solving an important aspect of the job.

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

To thrive in Vector Control, you need a background in pest management, public health, or biological sciences, often complemented by relevant certifications or training in mosquito and rodent control. Familiarity with GIS mapping tools, pesticide application equipment, and state/local regulatory systems is typically required. Attention to detail, strong communication skills, and effective teamwork are crucial soft skills for success in this field. These competencies ensure the safe, efficient, and compliant implementation of vector control measures to protect public health.

What is a Vector Control job?

A Vector Control job involves managing and reducing populations of disease-carrying organisms like mosquitoes, rodents, and other pests. Professionals in this field conduct inspections, apply treatments, educate the public, and enforce health regulations to prevent the spread of diseases such as malaria, dengue, and West Nile virus. They often work for public health departments or pest management agencies. The role may include fieldwork, data collection, and using biological or chemical control methods.

What are popular job titles related to Vector Control jobs in Florida? For Vector Control jobs in Florida, the most frequently searched job titles are:

Fulltime - Senior Full Stack AI Engineer

Futran Tech Solutions Pvt. Ltd.

Tampa, FL • On-site

Full-time

Re-posted 5 days ago


Job description

Role: Senior Full Stack AI Engineer
Location: Tampa, FL (3 Days onsite/ week)
Fulltime
Requirements:
• Extensive Experience: Minimum of 5 years of proven software development experience.
• Modern Application Development:
• In-depth knowledge of modern application architecture principles.
• Clear understanding of Data Structures and Object Oriented Principles
• Practical experience with Artificial Intelligence (AI) tools for enhancing development workflows.
• Proficiency in Microservices frameworks Event-Driven Services, and Cloud-Native Application
Development.
• Multiple years of experience on Service Oriented and Microservices architectures, including
REST and GraphQL implementations
• Strong Python Engineering: Expert-level proficiency in Python and relevant libraries (e.g.,
FastAPI, Pydantic, PyTorch, HuggingFace Ecosystem).
• Experience with LLM-based pipelines: Proven experience in building and deploying applications
using Large Language Models.
• Knowledge of vector search and embeddings: Hands-on experience with vector databases and
developing embedding pipelines.
• RAG Concepts: Strong understanding and practical experience with Retrieval-Augmented
Generation (RAG) frameworks (e.g., LangChain, LlamaIndex).
• GenAI Tuning: Experience with generative AI tuning techniques such as QLORA, LORA, and PEFT.
• MCP Experience: Practical experience with Agentic Workflows, and Model Context Protocol
(MCP) for enhancing development workflows
• NLP Expertise: Strong hands-on experience with NLP techniques such as text classification,
summarization, and topic modeling.
• Full Stack Proficiency: Demonstrated ability to design, develop, and maintain both front-end and back-
end components of robust web applications.
Personal - Individual Use
• Front-End Development: Strong expertise in developing intuitive user interfaces using contemporary
JavaScript frameworks (e.g., React), HTML5, and CSS.
• Back-End Development: Solid experience in developing server-side logic and APIs using languages
Python, Java, or similar.
• Database Expertise: Comprehensive knowledge of SQL and PL/SQL, with a deep understanding of
Relational Database Management Systems (RDBMS), particularly Oracle.
• API Development: Proven capability in designing, developing, and implementing high-performance
RESTful APIs leveraging appropriate frameworks and technologies.
• CI/CD and DevOps:
• Proficiency with Continuous Integration/Continuous Deployment (CI/CD) pipelines and tools for
building (e.g., Maven, Gradle) and deploying code (e.g., Docker, Jenkins, OpenShift).
• Experience with AWS is considered a significant advantage.
• Agile Methodologies: Practical experience working within Agile development methodologies and utilizing
project management tools such as JIRA.
• Testing Automation: Ability to develop and automate comprehensive unit, integration, and end-to-end
tests to ensure code quality.
• Version Control: Solid understanding and practical experience with code versioning tools, including
GitHub Enterprise.