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Pytorch Jobs in Arizona (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Phoenix, AZ

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 ...

Bespoke Labs

Machine Learning Engineer

Tucson, AZ

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 ...

Bespoke Labs

Machine Learning Engineer

Mesa, AZ

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 ...

Bespoke Labs

Machine Learning Engineer

Chandler, AZ

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 ...

Bespoke Labs

Machine Learning Engineer

Glendale, AZ

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 ...

JDA

Sr Gen AI Engineer

Scottsdale, AZ · On-site

$87K - $140K/yr

Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX * Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies with Docker and kubernetes

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, scikit-learn) * Experience building and scaling IVR/Conversational AI systems (Dialogflow, Contact ...

Saxon Global

Java Developer with GenAI Copilot

Phoenix, AZ · On-site

$50.75 - $65.50/hr

Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). * Familiarity with containerization and orchestration technologies (Docker, Kubernetes). * Knowledge of front-end technologies ...

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 ...

VDart, Inc.

Java / Python Engineer

Phoenix, AZ · On-site

Machine learning frameworks (TensorFlow, PyTorch). * Generative AI technologies (LLMs, prompt engineering). * Vertex AI model lifecycle (development, deployment, monitoring). * Responsible AI ...

Redolent

AI/ML Engineer

Phoenix, AZ

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 ...

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Pytorch information

What are the key skills and qualifications needed to thrive in the Pytorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What are the most commonly searched types of Pytorch jobs in Arizona? The most popular types of Pytorch jobs in Arizona are:
What are popular job titles related to Pytorch jobs in Arizona? For Pytorch jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Pytorch jobs in Arizona look for? The top searched job categories for Pytorch jobs in Arizona are:
Pytorch jobs near you
Infographic showing various Pytorch job openings in Arizona as of June 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.
Unix Engineer with Python

Unix Engineer with Python

Centraprise Corp

Chandler, AZ

Other

Posted 8 days ago

Job description

Role – Unix Engineer with Python

Location: Chandler, AZ (Onsite position)

Job Description

Python Unix machine learning Support Engineer

Must Have Technical/Functional Skills

Unix, ShellScripting, Python, Machine learning, Production Support

Roles & Responsibilities

•          System Configuration: Configuring Unix systems to meet specific requirements and standards.

•          Troubleshooting: Identifying and resolving issues with Unix systems and applications.

•          Scripting: Automating repetitive tasks using Python scripts.

•          Performance Optimization: Analyzing and improving the performance of Unix systems.

•          Documentation: Creating and maintaining system documentation and guides.

•          Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional.

•          Implement AI workflows using Python, agent frameworks, and orchestration tools

•          Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination

•          Integrate LLMs with enterprise systems and APIs

•          These roles are essential for maintaining the reliability and efficiency of Unix-based systems, and Python skills

can be leveraged to automate and streamline these tasks.

•          Designed, developed, and deployed machine learning models using supervised and unsupervised learning

techniques to solve real world business problems.

•          Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib.

•          Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / Google Cloud Platform) to support production

use cases.

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