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Tensorflow Developer Jobs in Florida (NOW HIRING)

Unicon Pharma Inc.

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and ... Experience with machine learning frameworks like TensorFlow or PyTorch. Education: Minimum Master ...

Pwc

AI Engineer

Miami, FL · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... and TensorFlow - Integrating data from various sources to create unified views for analysis ...

Pwc

AI Engineer

Boca Raton, FL · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... and TensorFlow - Integrating data from various sources to create unified views for analysis ...

Pwc

AI Engineer

Tampa, FL · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... and TensorFlow - Integrating data from various sources to create unified views for analysis ...

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$100 - $125/hr

Apply ML/AI tools like TensorFlow/PyTorch to build and train models for various applications ... Required Qualifications Master's Degree in Mathematics, Engineering, Physics or related field;

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How much do tensorflow developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for tensorflow developer in Florida is $33.84, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $40.96 per hour, depending on experience, location, and employer.

What is a TensorFlow developer?

A TensorFlow Developer is responsible for designing, building, and deploying machine learning models using TensorFlow, an open-source deep learning framework. They work with neural networks, data preprocessing, and optimization techniques to improve model performance. Their role often includes collaborating with data scientists and engineers to integrate models into applications, ensuring scalability and efficiency. TensorFlow Developers typically have expertise in Python, TensorFlow libraries, and deep learning concepts.

What does a TensorFlow developer do?

As a Tensorflow Developer, your daily tasks often include designing, coding, and refining machine learning models using Tensorflow, as well as preprocessing data and evaluating model performance. You may also be responsible for integrating models into production systems, troubleshooting issues, and collaborating closely with data scientists, engineers, and product teams. Staying updated with the latest developments in the machine learning ecosystem and optimizing solutions for scalability and efficiency are also common aspects of this role. By working on diverse projects, you'll have opportunities to deepen your understanding and broaden your expertise in different application areas.

What are the key skills and qualifications needed to thrive as a TensorFlow developer?

To thrive as a Tensorflow Developer, you need a solid understanding of machine learning and deep learning principles, strong Python programming skills, and practical experience with the Tensorflow framework. Familiarity with tools such as Tensorboard, Keras, and cloud-based ML platforms, as well as relevant certifications like TensorFlow Developer Certificate, is highly valued. Problem-solving ability, attention to detail, and effective teamwork and communication skills help set top candidates apart. These competencies enable developers to design, implement, and optimize machine learning models that address complex business challenges in a collaborative environment.

What is the salary of TensorFlow developer?

The salary of a TensorFlow developer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Skilled developers with expertise in machine learning, deep learning, and Python can command higher salaries, especially in tech hubs or companies requiring advanced AI skills.

What are the most commonly searched types of Tensorflow Developer jobs in Florida?

The most popular types of Tensorflow Developer jobs in Florida are:

What are popular job titles related to Tensorflow Developer jobs in Florida?

For Tensorflow Developer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Tensorflow Developer jobs in Florida look for?

The top searched job categories for Tensorflow Developer jobs in Florida are:

Tensorflow Developer jobs near you
Infographic showing various Tensorflow Developer job openings in Florida as of August 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $70,395 per year, or $33.8 per hour.

Senior Computer Vision Engineer ID72408

West Palm Beach, FL • On-site

AgileEngine, LLC.
Software Development • 201 - 500 employees
Learn more about AgileEngine, LLC.external

$101K - $138K/yr

Other

Posted 20 days ago

Key responsibilities

  • Own the applied model development process across computer vision, AI/ML, and broader data science use cases.

  • Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis.

  • Evaluate, train, fine-tune, and analyze model architectures, and build models for forecasting and anomaly detection.

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.

WHAT YOU WILL DO
  • Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
  • Translate complex business problems into viable, practical, and scalable AI/ML solutions;
  • Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
  • Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
  • Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
  • Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power to ensure optimal data quality and robust model performance in production.
MUST HAVES
  • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
  • 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
  • Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
  • Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
  • Strong, production-level proficiency in Python;
  • Deep hands-on experience with PyTorch and/or TensorFlow;
  • Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
  • Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
  • Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
  • Familiarity with deploying models on edge devices;
  • Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.
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