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Pytorch Jobs in Arizona (NOW HIRING)

Staffingine LLC

AI Engineer

Phoenix, AZ · On-site

... PyTorch for model development and training Design and optimize data processing workflows using SQL and other pipeline tools Integrate and manage APIs to support AI applications and services ...

Intraedge

Gen AI/ML engineer

Phoenix, AZ · Hybrid

Strong experience in developing and deploying AI systems using Python, PyTorch, leveraging Databricks, Snowflake or similar frameworks and tools. Strong knowledge of machine learning, deep learning ...

Rivago infotech inc

MLOps Engineer

Scottsdale, AZ · On-site

TensorFlow, PyTorch, Scikit-learn * Hands-on experience with MLOps tools : MLflow, Kubeflow, Airflow, SageMaker, Azure ML * Knowledge of CI/CD tools : Jenkins, GitHub Actions, GitLab CI * Experience ...

IntraEdge

Engineer II Premium

Phoenix, AZ

$82K - $110K/yr

... PyTorch, TensorFlow/Keras, LangChain, NLP (NLTK, spaCy), pandas, Matplotlib - Vector databases (ChromaDB, FAISS, pgvector) - Cloud Deployment (AWS/GCP/Azure) - Docker - Git - AI/ML Skills ...

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 ...

The University of Arizona

req26245

Tucson, AZ · On-site

Experience with PyTorch, Librosa, Hugging Face models. * Strong problem-solving skills and the ability to work independently. * Ability to analyze data and provide solutions. * Strong written and ...

Staffingine LLC

AIML Engineer

Scottsdale, AZ · On-site

Experience working with largescale machine learning frameworks such as TensorFlow Caffe2 PyTorch Spark ML or related frameworks * Experience and knowledge in the most recent advancements in Gen AI ...

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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.
AI Engineer

AI Engineer

Staffingine LLC

Phoenix, AZ • On-site

Contractor

Posted 25 days ago

Job description

Job Title: AI Engineer
Job Location: Phoenix, AZ
Job Type: Contract

Job Description:

  1. Develop and implement AI solutions using Python and AI frameworks such as Langgraph and Langchain Work with vector databases like Pinecone to manage and query highdimensional data Build and maintain machine learning pipelines for data processing and model deployment Utilize ML frameworks including XGBoost and PyTorch for model development and training Design and optimize data processing workflows using SQL and other pipeline tools Integrate and manage APIs to support AI applications and services Collaborate with crossfunctional teams to deliver scalable AIdriven products 

Roles and Responsibilities 

  1. Design develop and deploy AI and machine learning models using Python and relevant AI stacks Manage vector databases to enhance data retrieval and storage efficiency Build robust ML pipelines to automate data ingestion preprocessing and model training Apply advanced ML frameworks such as XGBoost and PyTorch for predictive analytics Develop data processing solutions involving SQL and pipeline orchestration Create and maintain APIs for seamless integration of AI components Collaborate with data scientists engineers and stakeholders to ensure project success Continuously monitor and improve AI system performance and scalability

Skills

Mandatory Skills : Agentic Framework