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Tensorflow Pytorch Jobs in Tampa, FL (NOW HIRING)

Jobtailor

Senior Data Science Lead

Tampa, FL · On-site

$140 - $210/hr

Proficiency with machine learning frameworks such as TensorFlow, PyTorch, Scikit‑Learn, CNTK, Keras, or MXNet. * Forecasting techniques, including exponential smoothing, ARIMA, and ARIMAX.

New

Echo IT Solutions

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Responsibilities : • Require a blend of strong programming proficiency (especially Python - expert level), deep learning frameworks (PyTorch, TensorFlow), and data engineering skills to build and ...

eTeam

Banking AI Engineer

Tampa, FL · On-site

Responsibilities : • AIML Model Development • Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and related frameworks • LLM Generative AI Solutions ...

Graham Technologies

Data Scientist

Tampa, FL

Experience using TensorFlow, PyTorch, or similar machine learning frameworks. * Experience with predictive analytics and statistical modeling. * Experience analyzing large, complex enterprise ...

Capgemini

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 ...

United Airlines

AI Solutions Developer

Tampa, FL · On-site

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 ...

DPR Construction

MLOps Engineer

Tampa, 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 ...

Graham Technologies

Data Scientist

Tampa, FL

Experience using TensorFlow, PyTorch, or similar machine learning frameworks. * Experience with predictive analytics and statistical modeling. * Experience analyzing large, complex enterprise ...

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Tensorflow Pytorch information

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$35.4K

$116K

$185.7K

How much do tensorflow pytorch jobs pay per year?

As of Aug 20, 2026, the average yearly pay for tensorflow pytorch in Tampa, FL is $115,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,100.00 and $128,500.00 per year, depending on experience, location, and employer.

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 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.

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 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.

What are popular job titles related to Tensorflow Pytorch jobs in Tampa, FL?

For Tensorflow Pytorch jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Tampa, FL look for?

The top searched job categories for Tensorflow Pytorch jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Tensorflow Pytorch jobs?

Cities near Tampa, FL with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Tampa, FL as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $115,990 per year, or $55.8 per hour.

Senior Data Science Lead

Jobtailor

Tampa, FL • On-site

$140 - $210/hr

Other

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

Job description

Responsibilities
  • Lead the design and implementation of complex data science solutions to drive business impact and inform strategic decision‑making.
  • Develop, validate, and optimize advanced statistical and machine learning models, including regression, classification, and forecasting algorithms.
  • Collaborate with cross‑functional teams to translate business objectives into actionable analytics projects and deliver measurable outcomes.
  • Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning.
  • Leverage Python, R, and relevant frameworks to build scalable data pipelines and automate model deployment using tools such as KubeFlow and BentoML.
  • Conduct rigorous statistical analysis, including hypothesis testing, T‑Test, Z‑Test, and probabilistic graph modeling to uncover actionable insights.
  • Implement and monitor model validation, explainability, and performance tracking using tools like Great Expectations and Evidently AI.
  • Stay current with emerging trends in machine learning, artificial intelligence, and big data technologies to drive innovation within the team.
Qualifications
  • 12+ years of experience in data science, with hands‑on expertise in advanced statistical modeling and machine learning.
  • Location: Deerfield Beach, FL.
  • Work type: Hybrid, minimum 3 days onsite per week.
  • Expertise in hypothesis testing, T‑Test, and Z‑Test.
  • Advanced proficiency in regression techniques (linear and logistic).
  • Strong programming skills in Python and PySpark.
  • Experience with SAS or SPSS for statistical analysis.
  • Hands‑on knowledge of probabilistic graph models.
  • Proficiency with machine learning frameworks such as TensorFlow, PyTorch, Scikit‑Learn, CNTK, Keras, or MXNet.
  • Forecasting techniques, including exponential smoothing, ARIMA, and ARIMAX.
  • Experience with model deployment tools such as KubeFlow and BentoML.
  • Strong understanding of classification algorithms (decision trees, SVM).
  • Proficiency in R and RStudio.
  • Prefer experience with Great Expectations and Evidently AI for model validation and monitoring.
  • Knowledge of advanced distance metrics (Hamming, Euclidean, Manhattan).
  • Expertise in scalable data engineering for machine learning pipelines.
  • Hands‑on experience with cloud‑based machine learning platforms.
  • Familiarity with MLOps best practices and CI/CD for data science.
  • Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
  • Relevant certifications in machine learning, data science, or analytics (e.g., TensorFlow, SAS).
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