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Tensorflow Pytorch Jobs in Plantation, FL (NOW HIRING)

Charter Global, Inc.

AI/ML Engineer

Sunrise, FL · On-site

Experience with deep learning frameworks (TensorFlow, PyTorch, or Keras), data preprocessing, feature engineering, model evaluation, REST API development (Flask, FastAPI), database management (SQL ...

Jobtailor

Senior Python Engineer

Fort Lauderdale, FL · On-site

$120 - $180/hr

Design and deploy scalable AI/ML solutions utilizing deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) * Perform data preparation activities including cleansing, transformation, and feature ...

Prescient Edge

Senior Data Scientist

Doral, FL · On-site

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 ...

DPR Construction

MLOps Engineer

Fort Lauderdale, FL · On-site

Proficiencyinat least one objected-oriented programming language, preferably pythonwith hands-on experience inml frameworks like TensorFlow, PyTorch or Scikit-learn Required Skills * Experience with ...

Pae

AI Modeling Specialist (Senior)

Doral, FL · On-site

Strong proficiency in Python (or similar), including AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) * Experience applying advanced analytics, machine learning, and statistical modeling ...

University of Miami

Post Doctoral Associate

Miami, FL · On-site

$46K - $63K/yr

Proficiency in programming languages such as Python, MATLAB, or C++, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) preferred. * Familiarity with medical imaging ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Plantation, FL

Tensorflow Pytorch information

See Plantation, FL salary details

$37.2K

$121.9K

$195.2K

How much do tensorflow pytorch jobs pay per year?

As of Aug 9, 2026, the average yearly pay for tensorflow pytorch in Plantation, FL is $121,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.
What are popular job titles related to Tensorflow Pytorch jobs in Plantation, FL? For Tensorflow Pytorch jobs in Plantation, FL, the most frequently searched job titles are:
What cities near Plantation, FL are hiring for Tensorflow Pytorch jobs? Cities near Plantation, FL with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Plantation, FL as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $121,915 per year, or $58.6 per hour.

AI/ML Engineer

Charter Global, Inc.

Sunrise, FL • On-site

Other

Posted 9 days ago

Job description

Job Title: AI/ML Engineer

Location: Hybrid onsite 3 days a week in Sunrise, FL

Duration: 7 months+ contract

Responsibilities:

  • Develop and maintain software solutions, ensuring high-quality production releases and ongoing support.
  • Actively participate in client deliverables and scrum ceremonies to align development with project goals.
  • Provide regular updates and clear communication to stakeholders regarding project progress and challenges.
  • Create and maintain technical artifacts and documentation related to assigned tasks.

Qualifications:

  • Hands-on experience with AI tooling, automation, and integrating AI/ML tools and large language model (LLM) APIs.
  • Proficiency in Python and machine learning libraries such as NumPy, Pandas, and Scikit-learn; experience with machine learning algorithms including regression, classification, clustering, and ensembles.
  • Experience in Java Full Stack development with strong backend Python skills.
  • Experience with deep learning frameworks (TensorFlow, PyTorch, or Keras), data preprocessing, feature engineering, model evaluation, REST API development (Flask, FastAPI), database management (SQL/NoSQL), and version control using Git.

Best Regards,

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David Roy | #LI-DR1  Accounts Manager – US Staffing | Charter Global Inc. |    

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