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Tensorflow Jobs in Florida (NOW HIRING)

Develop and deploy machine learning models using Scikit-learn and TensorFlow * Orchestrate ML workflows using Azure ML * Integrate AI-powered capabilities using LangChain and JavaScript-based AI ...

Develop and deploy machine learning models using Scikit-learn and TensorFlow . * Use Azure Machine Learning for model orchestration and deployment. * Integrate LangChain and JavaScript AI libraries ...

... learn| TensorFlow| Azure ML| and Langchain. The role requires a passion for cutting-edge machine learning integrations and delivering high-quality| performant software. AI System Key ...

... TensorFlow, PyTorch, or Keras) Working knowledge of data preprocessing, feature engineering, and model evaluation Experience building and consuming REST APIs (Flask, FastAPI, or similar) Database ...

Gen AI Engineering Lead

West Palm Beach, FL · On-site

$99K - $130K/yr

... e.g., TensorFlow, PyTorch), required Preferred : • Master's degree in Artificial Intelligence, preferred • Experience with generative AI frameworks (e.g., GPT, DALL-E, Stable Diffusion ...

Gen AI Engineering Lead

Orlando, FL · On-site

$95K - $125K/yr

... e.g., TensorFlow, PyTorch), required Preferred : • Master's degree in Artificial Intelligence, preferred • Experience with generative AI frameworks (e.g., GPT, DALL-E, Stable Diffusion ...

... TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Specialization * Data Science Advanced: Data Specialist Job ...

... TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Specialization * Data Science Advanced: Data Specialist Job ...

Candidates must have expertise in Azure (VMs, Databricks, Kubernetes), cloud platforms (AWS/GCP), databases (Snowflake, Synapse, Cosmos DB), AI/ML (TensorFlow, GPT, Llama2), and data integration ...

AI Solutions Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and related frameworks - LLM Generative AI Solutions: Develop applications powered by Large Language ...

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and related frameworks - LLM Generative AI Solutions: Develop applications powered by Large Language ...

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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 Jun 14, 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 kind of jobs use TensorFlow?

Jobs that use TensorFlow typically include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing, training, and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

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.

Which 3 jobs will survive AI?

TensorFlow professionals, data scientists, and AI engineers are likely to continue thriving as AI advances, since their roles involve developing, training, and maintaining machine learning models. These jobs require specialized skills in programming, mathematics, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and certification in AI tools can help ensure job security in this evolving field.

What job makes $10,000 a month without a degree?

In the field of TensorFlow and machine learning, roles such as freelance AI developer, data scientist, or machine learning engineer can earn $10,000 or more per month with strong skills and experience, often without a formal degree. These positions typically require proficiency in programming, deep learning frameworks, and project portfolios, and may involve remote work or contract-based projects.

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 is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in TensorFlow, deep learning, and data science. These roles usually involve leadership, extensive experience, and may include stock options or bonuses, with compensation reflecting expertise and impact on business outcomes.

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:
Infographic showing various Tensorflow job openings in Florida as of June 2026, with employment types broken down into 1% Internship, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

Full-Stack AI Engineer

Prophecy Technologies

Tampa, FL • On-site

Full-time

Posted 8 days ago


Job description

Job Summary
We are seeking a versatile Full-Stack AI Engineer with strong expertise in both backend and frontend development, combined with hands-on experience in AI/ML technologies. The ideal candidate will work closely with cross-functional teams to design and build scalable web applications powered by Node.js and Python backends, React-based frontends, and AI/ML-driven features leveraging tools such as Scikit-learn, TensorFlow, Azure ML, and LangChain. This role requires a passion for cutting-edge AI integration and delivering high-quality, high-performance software systems.
Key Responsibilities
Backend Development
  • Design, develop, and maintain scalable backend services and APIs using Node.js (TypeScript) and Python
  • Integrate AI/ML models and workflows into backend systems to enable intelligent application features
  • Ensure robust application architecture with a focus on security, scalability, and performance optimization

Frontend Development
  • Build responsive, user-friendly interfaces using React and TypeScript
  • Collaborate with UX/UI designers and product teams to deliver seamless user experiences
  • Implement state management, routing, and reusable component libraries for complex workflows

AI / ML Integration
  • Develop and deploy machine learning models using Scikit-learn and TensorFlow
  • Orchestrate ML workflows using Azure ML
  • Integrate AI-powered capabilities using LangChain and JavaScript-based AI libraries
  • Collaborate with data scientists and ML engineers to operationalize AI solutions in production

Collaboration & Best Practices
  • Work in an Agile environment with product managers, designers, and engineers
  • Write clean, maintainable, and well-documented code
  • Develop unit and integration tests
  • Participate in code reviews, architecture discussions, and continuous improvement initiatives

Required Skills & Qualifications
  • Strong experience in Node.js with TypeScript
  • Strong backend experience with Python
  • Hands-on experience with React and TypeScript
  • Solid understanding of RESTful API development
  • Practical experience with AI/ML model development and integration
  • Experience using Scikit-learn, TensorFlow
  • Experience deploying and managing ML workflows with Azure ML
  • Experience integrating LangChain into applications
  • Knowledge of application security, scalability, and performance optimization
  • Strong collaboration and communication skills

Essential Skills
  • Full-Stack Development
  • Node.js (TypeScript)
  • Python
  • ReactJS
  • AI / ML Integration
  • Scikit-learn
  • TensorFlow
  • Azure ML
  • LangChain

Desirable Skills
  • Experience with cloud-native architectures
  • Exposure to MLOps or AI system orchestration
  • Familiarity with containerization and CI/CD pipelines
  • Experience working in AI-driven or data-centric products