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Tensorflow Pytorch Jobs in Tempe, AZ (NOW HIRING)

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 ...

AI Engineer

Mesa, AZ · On-site

$65K/yr

... e.g., TensorFlow, PyTorch, Hugging Face) • Understanding of core machine learning concepts, algorithms, and models (e.g., supervised vs. unsupervised learning, regression, classification ...

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.

Strong Python programming with frameworks such as PyTorch, TensorFlow, or scikit-learn * Hands-on experience with LLMs, NLP, embeddings, RAG, and prompt engineering * Experience with agentic AI ...

... PyTorch, TensorFlow) * 1+ year experience translating research ideas into production systems. Preferred Qualifications: * Deep experience with graph representation learning, graph transformers (e.g ...

... PyTorch, TensorFlow) * 1+ year experience translating research ideas into production systems. Preferred Qualifications: * Deep experience with graph representation learning, graph transformers (e.g ...

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

... PyTorch, TensorFlow, Azure ML, or Fabric ML. · Practical experience managing HIPAA compliance, PHI handling, auditing, and secure access controls within cloud data environments. · Experience ...

Adapts instruction using Python with TensorFlow or PyTorch, interactive notebooks, and real-world data projects to support students from AI concepts introduction through intermediate machine learning ...

Senior Data & AI Engineer

Phoenix, AZ · On-site

$100K - $136K/yr

Machine learning: feature engineering, model training/evaluation, and deployment (e.g., scikit‑learn, PyTorch/TensorFlow, Fabric ML/Notebook, Azure ML); production monitoring. * Security ...

Showing results 41-60

Tensorflow Pytorch information

See Tempe, AZ salary details

$35.9K

$117.6K

$188.2K

How much do tensorflow pytorch jobs pay per year?

As of Aug 18, 2026, the average yearly pay for tensorflow pytorch in Tempe, AZ is $117,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $130,300.00 per year, depending on experience, location, and employer.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What are popular job titles related to Tensorflow Pytorch jobs in Tempe, AZ?

For Tensorflow Pytorch jobs in Tempe, AZ, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Tempe, AZ look for?

The top searched job categories for Tensorflow Pytorch jobs in Tempe, AZ are:

What cities near Tempe, AZ are hiring for Tensorflow Pytorch jobs?

Cities near Tempe, AZ with the most Tensorflow Pytorch job openings:

AIML Engineer

Staffingine LLC

Scottsdale, AZ • On-site

Contractor

Re-posted 11 days ago


Job description

Job Title: AIML Engineer
Job Location: Scottsdale - Arizona - USA
Job Type: Contract to Hire
 

Job Description:

  • Design and implement scalable MLOps supportive data pipelines for data ingestion processing and storage
  • Experience deploying models with MLOps tools such as Vertex Pipelines Kubeflow or similar platforms
  • Experience implementing and supporting endtoend Machine Learning workflows and patterns
  • Expert level programming skills in Python and experience with Data Science and ML packages and frameworks
  • Proficiency with containerization technologies Docker Kubernetes and CICD practices
  • 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 including Gemini OpenAI Claud and exposure to opensource Large Language Models LLMs
  • Experience building AIML products using technologies such as LLMs neural networks and others
  • Experience in building AIML Apps using Flask or FastAPI
  • Experience with RAG and Supervised Tuning techniques
  • Strong distributed systems skills and knowledge
  • Development experience of at least one public cloud provider Preferably GCP
  • Excellent analytical written and verbal communication skills
  • Tech Stack Python SQL Docker Kubernetes FastAPI Flask MLOps Machine Learning LLMs LangChain or similar orchestrator Vector DB or similar GCP Google AutoML Vertex AI Build tools

Mandatory Skills : MLOPS,GenAI - LLMOps,Python - Data Science,Machine Learning - AIOPS,Deep Learning - AIOPS