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Tensorflow Pytorch Jobs in Chandler, AZ (NOW HIRING)

Donato Technologies Inc

AI Architect

Phoenix, AZ · On-site

AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) * Generative AI / LLMs (OpenAI, Azure OpenAI, etc.) * Expertise in application architecture and system design * Experience in: * Cloud platforms ...

New

Intellisoft Technologies

AI Architect

Phoenix, AZ · On-site

AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Generative AI / LLMs (OpenAI, Azure OpenAI, etc.) Expertise in application architecture and system design Experience in: Cloud platforms (Azure ...

New

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Strong programming skills in Python, Bash, or Go, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn). Preferred Certifications (one or more): Google Cloud Professional Machine ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ

$105K - $145K/yr

Strong coding skills in Python and/or Java, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn) * Experience building and scaling IVR/Conversational AI systems (Dialogflow, Contact ...

Donato Technologies, Inc

AI Architect

Phoenix, AZ · On-site

$60 - $68/hr

AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) * Generative AI / LLMs (OpenAI, Azure OpenAI, etc.) * Expertise in application architecture and system design * Experience in: * Cloud platforms ...

New

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

Experience with TensorFlow, PyTorch, and scikit-learn. * Cloud Platforms : Working knowledge of Google Cloud and Azure. * Front-End Frameworks/Libraries : Experience with React, Angular, Vue.js, and ...

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ · On-site

And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc. * The basic algorithms and deep learning algorithms of related machine learning have a deep understanding and mastery ...

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ

And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc. * The basic algorithms and deep learning algorithms of related machine learning have a deep understanding and mastery ...

Forhyre

Prompt Engineers

Phoenix, AZ

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

TensorFlow, PyTorch, Scikit-learn, MLflow * Epic Clarity, Epic Caboodle, FHIR, HL7 * Claude Code, GitHub Copilot, Cursor * Git, Azure DevOps, CI/CD, Docker, Kubernetes Company Description MY DR NOW ...

AgreeYa Solutions

AI Architect

Phoenix, AZ · On-site

$62.50 - $82.50/hr

Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. * Strong experience with Generative AI / LLMs , including OpenAI, Azure OpenAI, or similar technologies.

New

Aikitech, Inc.

Software Architect

Tempe, AZ · On-site

... TensorFlow, PyTorch and other deep learning libraries • Experience with cloud technologies (AWS, Azure, GCP) • Strong understanding of cybersecurity principles as they apply to software ...

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Tensorflow Pytorch information

See Chandler, AZ salary details

$36.9K

$120.9K

$193.5K

How much do tensorflow pytorch jobs pay per year?

As of Aug 12, 2026, the average yearly pay for tensorflow pytorch in Chandler, AZ is $120,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $133,900.00 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 job categories do people searching Tensorflow Pytorch jobs in Chandler, AZ look for? The top searched job categories for Tensorflow Pytorch jobs in Chandler, AZ are:
What cities near Chandler, AZ are hiring for Tensorflow Pytorch jobs? Cities near Chandler, AZ with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you

AI Architect

Donato Technologies Inc

Phoenix, AZ • On-site

Other

Posted 2 days ago

New

Job description

Technical Skills

  • Hands-on experience with:
    • AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
    • Generative AI / LLMs (OpenAI, Azure OpenAI, etc.)
  • Expertise in application architecture and system design
  • Experience in:
    • Cloud platforms (Azure/AWS/Google Cloud Platform)
    • REST APIs, microservices, and distributed systems
  • Knowledge of data engineering, APIs, and system integration

AI-Specific Skills

  • Understanding of AI pipelines, model deployment, and monitoring
  • Ability to evaluate and apply AI tools in application development lifecycle

Technical Leadership

  • Collaborate with product, data, and business teams to translate requirements into solutions
  • Drive adoption of AI-enabled development tools and frameworks
  • Provide training to the team for using AI Capabilities

Soft Skills

  • Strong problem-solving and analytical thinking
  • Excellent communication and stakeholder management
  • Leadership experience in guiding cross-functional teams

Preferred Qualifications

  • Experience implementing AI in enterprise applications
  • Exposure to DevOps / MLOps practices
  • Knowledge of Responsible AI and governance principles
  • Prior experience in a technical lead or architect role

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