1

Pytorch Developer Jobs in Phoenix, AZ (NOW HIRING)

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 ...

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

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 ...

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

You work fluently in Python and frameworks like PyTorch, TensorFlow, or scikit-learn, and you are ... engineer- security?utm_source=dstribute & utm_medium=job+boards & utm_campaign=arrivia -fse ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Showing results 21-40

Pytorch Developer information

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 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 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 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 cities near Phoenix, AZ are hiring for Pytorch Developer jobs? Cities near Phoenix, AZ with the most Pytorch Developer job openings:

Senior AI/ML & IVR Engineer GCP

IntraEdge

Scottsdale, AZ • On-site

$105K - $145K/yr

Full-time

Re-posted 18 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

IntraEdge logo

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