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Pytorch Developer Jobs in Arizona (NOW HIRING)

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

Strong coding skills in Python and/or Java, with experience in ML frameworks (TensorFlow, PyTorch ... Data engineering skills: ETL/ELT, real-time and batch pipelines * Excellent communication ...

JDA

Sr Gen AI Engineer

Scottsdale, AZ · On-site

$87K - $140K/yr

Create developer tools and frameworks that enable internal teams to leverage AI capabilities ... Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX * Familiarity with ...

Deloitte

Manager - GenAI Full Stack Developer

Tempe, AZ · On-site

Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). * Familiarity with AI ... Python programming * Natural Language Processing (NLP) * Agentic AI, including LangChain, LangGraph ...

Chemours

Senior Full-Stack AI Developer

Phoenix, AZ · On-site +1

Chemours is seeking a Senior Full-Stack AI Developer to join our growing AI & Data Science team ... Experience with PyTorch, including training and fine-tuning pre-trained models, and iterating on ...

Diligent Tec, Inc.

AI/ML Engineer

Scottsdale, AZ · On-site

Role: AI/ML Engineer Location: Scottsdale, AZ (Hybrid) Duration: Full Time We are seeking an ... Technical Skills: o Proficiency in Python and related libraries (e.g., TensorFlow, PyTorch, scikit ...

Forhyre

Prompt Engineers

Phoenix, AZ

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging ...

Georgia IT Inc

Data Scientist- Phoenix AZ

Phoenix, AZ · On-site

... PyTorch, PySpark Knowledge of battery cell and pack engineering, physics, data driven root cause analysis Client - Battery management systems for electric vehicles Cloud platform experience ...

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ · On-site

And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc. * The basic ... excellent engineering practice capabilities * Experience in algorithms such as, anti-fraud ...

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ · On-site

And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc. * The basic ... excellent engineering practice capabilities * Experience in algorithms such as, anti-fraud ...

Tech One IT

Agentic AI Engineer

Phoenix, AZ · On-site

$96K - $132K/yr

... or PyTorch Experience with Generative AI and Large Language Models (LLMs) Expertise in prompt engineering, RAG, embeddings, and vector databases Knowledge of AI agent frameworks like LangChain ...

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Pytorch Developer information

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are popular job titles related to Pytorch Developer jobs in Arizona? For Pytorch Developer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Arizona look for? The top searched job categories for Pytorch Developer jobs in Arizona are:
What cities in Arizona are hiring for Pytorch Developer jobs? Cities in Arizona with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Arizona as of May 2026, with employment types broken down into 84% Full Time, 6% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.
Senior AI/ML & IVR Engineer GCP

Senior AI/ML & IVR Engineer GCP

IntraEdge

Scottsdale, AZ • On-site

$105K - $145K/yr

Full-time

Posted 15 days ago

Job description

Position Overview:
As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will work closely with data scientists, engineers, and product teams to drive innovation and build scalable machine learning and conversational AI systems.

Key Responsibilities:

  • Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services (BigQuery, Vertex AI, Dataflow, Pub/Sub, etc.)

  • Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and dialog management

  • Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and performance optimization on GCP

  • Lead technical projects, mentor team members, and ensure best practices in code quality, security, and AI ethics

  • Collaborate with cross-functional teams to integrate AI/ML and IVR capabilities with business applications and customer experiences

  • Develop APIs and cloud-native interfaces for scalable, secure, low-latency access to AI features

  • Ensure compliance and data governance for voice and customer data according to privacy and regulatory standards

Must-Have Skills:

  • Expertise with GCP AI/ML tools (Vertex AI, BigQuery ML, Kubeflow, Dataflow, Cloud Functions)

  • 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 Center AI, Twilio, etc.)

  • Advanced MLOps: CI/CD, containerization (Docker), orchestration (Kubernetes), monitoring, and automation

  • Data engineering skills: ETL/ELT, real-time and batch pipelines

  • Excellent communication, collaboration, and technical leadership abilities

  • Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or related field

  • 7+ years of experience in AI/ML engineering, cloud platforms, and IVR/conversational applications

Desirable:

  • GCP Professional Certifications (Data Engineer, ML Engineer)

  • Experience with call center, telecom, or enterprise voice automation

  • Knowledge of infrastructure-as-code (Terraform, Cloud Deployment Manager)

Success in This Role:

  • Reliable, high-performance deployment of AI/ML and IVR solutions on GCP

  • Measurable improvements in automation, customer experience, and efficiency

  • Effective collaboration with business, engineering, and product teams


Position Overview:
As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will work closely with data scientists, engineers, and product teams to drive innovation and build scalable machine learning and conversational AI systems.

Key Responsibilities:

  • Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services (BigQuery, Vertex AI, Dataflow, Pub/Sub, etc.)

  • Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and dialog management

  • Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and performance optimization on GCP

  • Lead technical projects, mentor team members, and ensure best practices in code quality, security, and AI ethics

  • Collaborate with cross-functional teams to integrate AI/ML and IVR capabilities with business applications and customer experiences

  • Develop APIs and cloud-native interfaces for scalable, secure, low-latency access to AI features

  • Ensure compliance and data governance for voice and customer data according to privacy and regulatory standards

Must-Have Skills:

  • Expertise with GCP AI/ML tools (Vertex AI, BigQuery ML, Kubeflow, Dataflow, Cloud Functions)

  • 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 Center AI, Twilio, etc.)

  • Advanced MLOps: CI/CD, containerization (Docker), orchestration (Kubernetes), monitoring, and automation

  • Data engineering skills: ETL/ELT, real-time and batch pipelines

  • Excellent communication, collaboration, and technical leadership abilities

  • Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or related field

  • 7+ years of experience in AI/ML engineering, cloud platforms, and IVR/conversational applications

Desirable:

  • GCP Professional Certifications (Data Engineer, ML Engineer)

  • Experience with call center, telecom, or enterprise voice automation

  • Knowledge of infrastructure-as-code (Terraform, Cloud Deployment Manager)

Success in This Role:

  • Reliable, high-performance deployment of AI/ML and IVR solutions on GCP

  • Measurable improvements in automation, customer experience, and efficiency

  • Effective collaboration with business, engineering, and product teams

Education:Employment Type: FULL_TIME
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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