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Tensorflow Jobs in Phoenix, AZ (NOW HIRING)

Motion Recruitment

IAM Engineer - Phoenix, Az

Phoenix, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Combine deep experience in Python with one or more frameworks (PyTorch, TensorFlow) to deliver production-ready models * Partner with engineering and product teams to embed, monitor, and validate ML ...

IntraEdge

Engineer II Premium

Phoenix, AZ · On-site

$82K - $110K/yr

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

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 ...

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 ...

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 ...

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

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 ...

Pwc

AI Engineer

Phoenix, AZ · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing scalable machine learning models using Python and TensorFlow - Integrating data ...

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Tensorflow information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do tensorflow jobs pay per year?

As of Aug 18, 2026, the average yearly pay for tensorflow in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a TensorFlow?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What does a TensorFlow developer do?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the TensorFlow position?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What are the most commonly searched types of Tensorflow jobs in Phoenix, AZ?

The most popular types of Tensorflow jobs in Phoenix, AZ are:

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

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

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

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

Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Phoenix, AZ as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,868 per year, or $58.6 per hour.

Senior Machine Learning Engineer

Prime Solutions Group, Inc.

Goodyear, AZ • On-site

$101K - $139K/yr

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Prime Solutions Group (PSG), Inc. is an innovative digital engineering company specializing in advanced sensing, AI/ML, and digital engineering solutions. They are seeking a Senior Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems, focusing on developing pipelines and integrating models into production.
Responsibilities:
• Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment
• Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow
• Integrate models into production systems (APIs, batch pipelines, real-time services)
• Implement model validation, evaluation metrics, and performance monitoring
• Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements
• Collaborate with data engineers and domain experts to prepare and validate datasets
• Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments
• Troubleshoot model and pipeline issues; perform root cause analysis and optimization
• Contribute to technical documentation, test plans, and operational runbooks
• Participate in design reviews, architecture discussions, and Agile development processes
• Mentor junior engineers and promote engineering best practices
Qualifications:
Required:
• U.S. Citizenship
• Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain)
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
• 4+ years of experience in: Machine Learning Engineering, Applied AI/ML development, Production ML systems
• Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
• Experience developing, training, and deploying ML models in real-world applications
• Solid understanding of the ML lifecycle (data ? training ? validation ? deployment ? monitoring)
• Experience building maintainable, production-quality software
• Familiarity with Docker and cloud environments (AWS, Azure, or GCP)
• Experience working in Agile and CI/CD environments
• Strong problem-solving, communication, and collaboration skills
Preferred:
• Master’s degree in a related field
• Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR)
• Experience transitioning models from research to production environments
• Familiarity with experiment tracking, model versioning, and reproducibility practices
• Experience with GPU-based ML workflows and cloud ML platforms
• Background in defense, intelligence, or other regulated environments
Company:
Prime Solutions Group, Inc (PSG) provides engineering services and software data processing products for remote sensing systems. Founded in 2007, the company is headquartered in Goodyear, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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