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Tensorflow Jobs in Florida (NOW HIRING)

Senior Computer Vision Engineer ID72408

Miami, FL · On-site

$99K - $137K/yr

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 ...

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

Experiencewith ML frameworks such as TensorFlow, PyTorch, or Scikit-learn * Familiaritywith data processing tools like SQL, Spark, or Hadoop * Understandingof model deployment techniques and cloud ...

AI/ML Engineer

Sunrise, FL · On-site

$50 - $54/hr

Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) is highly desired. * Looking for candidates who can build APIs around AI/ML solutions using Flask or FastAPI. * Database ...

Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing ...

Exposure to AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn). * Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows. * Experience with ...

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Experience with machine learning frameworks like TensorFlow or PyTorch. Education: Minimum Master's in Data Science and Compute Science - Graduate in recent years a. Data Analysis: Analyze large ...

... TensorFlow and Scikit-Learn for deep learning and natural language processing tasks - Collaborating with team members to adapt to varying client challenges and scopes - Taking ownership of projects ...

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Tensorflow information

See Florida salary details

$28K

$91.7K

$146.8K

How much do tensorflow jobs pay per year?

As of Jul 6, 2026, the average yearly pay for tensorflow in Florida is $91,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $101,600.00 per year, depending on experience, location, and employer.

What is a TensorFlow job?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

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

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are the most commonly searched types of Tensorflow jobs in Florida? The most popular types of Tensorflow jobs in Florida are:
What cities in Florida are hiring for Tensorflow jobs? Cities in Florida with the most Tensorflow job openings:
Senior Computer Vision Engineer ID72408

Senior Computer Vision Engineer ID72408

AgileEngine

Miami, FL • On-site

$99K - $137K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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 leading deep learning frameworks, specifically 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);
- Upper-intermediate English level.
NICE TO HAVES
- 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.