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Tensorflow Pytorch Jobs in Tampa, FL (NOW HIRING)

Axogen

AI/ML Engineer

Tampa, FL · On-site

Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch) * Experience with cloud AI platforms (AWS, Azure, or GCP) * Experience with RPA platforms (UiPath, Automation Anywhere, or Power ...

Mastech Digital

Mlops Engineer

Tampa, FL · On-site

Proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. * Working knowledge of CI/CD pipelines, DevOps practices, and automation frameworks. * Deep understanding of data ...

ECS

Data Scientist Lead

Tampa, FL · On-site

Proven expertise in applying advanced AI/ML techniques and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to solve complex problems. * Highly proficient in Python and/or R for data engineering ...

StradIT

AI/ML Observability Engineer

Tampa, FL

NumPy, Pandas, scikit learn, TensorFlow, PyTorch, Matplotlib, Seaborn. Experience with Generative AI, LLM fine tuning, prompt engineering, RAG pipelines, and LLM evaluation frameworks. Expertise in ...

StradIT

AI/ML Observability Engineer

Tampa, FL · On-site

NumPy, Pandas, scikit learn, TensorFlow, PyTorch, Matplotlib, Seaborn. • Experience with Generative AI, LLM fine tuning, prompt engineering, RAG pipelines, and LLM evaluation frameworks. • ...

DPR Construction

MLOps Engineer

Tampa, FL

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

Venatore Llc

Data Scientist Lead

Tampa, FL · On-site

Expertise developing and deploying advanced AI/ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. * Advanced proficiency in Python and/or R for data engineering, automation ...

Marencor

Python GenAI Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Extensive experience with machine learning libraries and frameworks, including PyTorch and TensorFlow. * Solid understanding of machine learning algorithms and data preprocessing techniques.

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Tensorflow Pytorch information

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How much do tensorflow pytorch jobs pay per year?

As of Jul 28, 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 the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

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 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 July 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 100% In-person job distribution, with an average salary of $115,990 per year, or $55.8 per hour.
AI/ML Engineer

AI/ML Engineer

Axogen

Tampa, FL • On-site

Other

Posted 6 days ago

Job description

Job Summary of the AI/ML Engineer

We are seeking an experienced AI Engineer to join our Center of Excellence team, driving the development and implementation of artificial intelligence and intelligent automation solutions across the organization. This role focuses on designing, building, and deploying AI models and RPA solutions while establishing best practices for AI and automation development.

Requirements of the AI/ML Engineer

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • Minimum 3 years of hands-on experience in software development and experience in developing and deploying AI/ML solutions in production environment.
  • Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch)
  • Experience with cloud AI platforms (AWS, Azure, or GCP)
  • Experience with RPA platforms (UiPath, Automation Anywhere, or Power Automate)
  • Solid understanding of deep learning, neural networks, and AI algorithms
  • Experience with AI model deployment and containerization (Docker, Kubernetes)
  • Knowledge of process automation, workflow design, and business process optimization

Preferred Qualifications

  • Experience with large language models (LLMs) and generative AI
  • Knowledge of AI model monitoring, governance, and responsible AI practices
  • Experience with intelligent document processing (IDP) and OCR technologies
  • Familiarity with process mining tools and automation analytics
  • Experience building real-time AI systems and APIs
  • Previous experience in a CoE or platform role
  • RPA Developer or AI/ML certifications (UiPath, Automation Anywhere, AWS, Azure)

Technical Skills

  • Programming: Python, SQL, VB.NET/C#/Java
  • AI/Deep Learning: Neural Networks, NLP, Computer Vision, Generative AI
  • Frameworks: TensorFlow, PyTorch, OpenAI APIs
  • RPA Platforms: UiPath, Automation Anywhere, Power Automate
  • AI Platforms: Azure AI, Google AI Platform
  • Integration: REST APIs, Webhooks, Message Queues
  • Tools: Git, Docker, Kubernetes, Orchestrator

Soft Skills

  • Excellent problem-solving and analytical abilities with process improvement mindset
  • Strong communication skills to explain AI and automation concepts to non-technical stakeholders
  • Collaborative mindset with cross-functional team experience
  • Self-motivated with ability to manage multiple priorities
  • Passion for continuous learning in AI and automation advancements
  • Business acumen to identify and quantify automation opportunities

Responsibilities of the AI/ML Engineer

The specific duties of the AI/ML Engineer include but are not limited to:

AI & RPA Solution Development

  • Design, develop, and deploy AI models and RPA solutions to address complex business challenges
  • Build and optimize AI pipelines including data preprocessing, model training, and deployment
  • Develop and maintain intelligent automation workflows using RPA platforms
  • Implement and maintain scalable AI and RPA infrastructure and frameworks
  • Integrate AI capabilities with RPA bots for intelligent automation
  • Conduct experiments to evaluate AI model and automation performance and implement improvements

Support to set CoE Standards

  • Support leadership to establish and maintain AI and RPA best practices, standards, and governance frameworks
  • Develop reusable AI and automation components and templates for enterprise-wide use
  • Create technical documentation and guidelines for AI and RPA development
  • Support to evaluate and recommend new AI, RPA technologies and platforms
  • Support to define automation opportunity assessment criteria and prioritization frameworks

Collaboration & Innovation

  • Partner with stakeholders to identify automation opportunities and deliver AI-powered solutions
  • Provide technical guidance and mentorship on AI and RPA technologies
  • Conduct training sessions to build AI and automation capabilities across teams
  • Stay current with latest AI, RPA research and industry trends
  • Prototype and evaluate emerging technologies including generative AI, LLMs, and document processing (RAG)

Location

111 West Oak Ave., Tampa, FL  33602

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