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Pytorch Developer Jobs in Arizona (NOW HIRING)

Gen AI/ML engineer Location: Phoenix, AZ (Day 1 onsite Hybrid 3 days a week in office) Duration ... Strong experience in developing and deploying AI systems using Python, PyTorch, leveraging ...

... XGBoost and PyTorch for model development and training Design and optimize data processing ... engineers and stakeholders to ensure project success Continuously monitor and improve AI system ...

Required Qualifications: 5 years experience in DevOps, CloudOps, or ML Ops. 5 years experience with ... TensorFlow, PyTorch, Scikit-learn). Preferred Certifications (one or more): Google Cloud ...

Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch. Hands-on experience with Generative AI technologies (e.g., LLMs), prompt engineering, and AI-powered ...

Engineer II Premium

Phoenix, AZ

$82K - $110K/yr

... PyTorch, TensorFlow/Keras, LangChain, NLP (NLTK, spaCy), pandas, Matplotlib - Vector databases ... RAG) - Prompt engineering and optimization - Data Modeling - Synthetic Data Generation ...

AIML Engineer Job Location: Scottsdale - Arizona - USA Job Type: Contract to Hire * Design and ... Experience working with largescale machine learning frameworks such as TensorFlow Caffe2 PyTorch ...

AI/ML Engineer Location: Phoenix, AZ Experience Level: 8+ years Rate: We are seeking a highly ... Experience with TensorFlow, PyTorch, and scikit-learn. * Cloud Platforms : Working knowledge of ...

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 ...

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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 in Arizona are hiring for Pytorch Developer jobs? Cities in Arizona with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in Arizona as of June 2026, with employment types broken down into 87% Full Time, 2% Part Time, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.
Gen AI/ML engineer

Gen AI/ML engineer

Intraedge

Phoenix, AZ • On-site

Other

Posted 26 days ago


Job description

Job Title: : Gen AI/ML engineer
Location: Phoenix, AZ (Day 1 onsite Hybrid 3 days a week in office)
Duration: Long Term Contract

Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field expertise.
Hands-on experience with popular GenAI LLM models (e.g., GPT-4o, Llama, Mixtral), SLM s with Phi/Gamma/Triplex, and frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, PyTorch, and long-term memory with Mem0 or similar.
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, natural language processing, computer vision, and other AI domains.
Experience in prompt engineering, data preprocessing, model fine-tuning, and evaluation.
Experience in MLOps, CI/CD, cloud computing, and containerization technologies.
Excellent communication, collaboration, and problem-solving skills.
Ability to work independently and in a team environment.
Degree in Computer Science, Artificial Intelligence, or a related field experience.
3+ years of experience in AI/ML, with a strong focus on Generative AI.
Deep understanding of NLP, deep learning, and data analysis techniques.
Experience with large language models (LLMs), text generation, and image gen.
Strong programming skills in Python, along with experience in data manipulation libraries (e.g., Pandas, NumPy).


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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

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