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Edge Ai Machine Learning Jobs in Phoenix, AZ (NOW HIRING)

6AM City

AI & Machine Learning Engineer

Phoenix, AZ

$96K - $132K/yr

What You'll Do Design, develop, and deploy AI-powered healthcare applications using Large Language Models (LLMs), Machine Learning, and Generative AI Build intelligent agents, RAG solutions, prompt ...

6AM City

AI & Machine Learning Engineer

Phoenix, AZ · On-site

$96K - $132K/yr

What You'll Do Design, develop, and deploy AI-powered healthcare applications using Large Language Models (LLMs), Machine Learning, and Generative AI Build intelligent agents, RAG solutions, prompt ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

Design, develop, and deploy AI-powered healthcare applications using Large Language Models (LLMs), Machine Learning, and Generative AI * Build intelligent agents, RAG solutions, prompt workflows, and ...

TSMC

Senior Agent AI Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

The second fab will utilize its leading-edge N3 and N2 process technology and be operational in ... Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related technical ...

TSMC

Senior Agent AI Engineer

Phoenix, AZ

$128K - $176K/yr

The second fab will utilize its leading-edge N3 and N2 process technology and be operational in ... Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related technical ...

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All JobsEdge Ai Machine Learning JobsEdge Ai Machine Learning Jobs in Phoenix, AZ

Edge Ai Machine Learning information

See Phoenix, AZ salary details

$25.3K

$42.3K

$87.4K

How much do edge ai machine learning jobs pay per year?

As of Aug 28, 2026, the average yearly pay for edge ai machine learning in Phoenix, AZ is $42,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Phoenix, AZ?

The most popular types of Edge Ai Machine Learning jobs in Phoenix, AZ are:

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For Edge Ai Machine Learning jobs in Phoenix, AZ, the most frequently searched job titles are:

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Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Phoenix, AZ as of August 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,282 per year, or $20.3 per hour.

AI & Machine Learning Engineer

Phoenix, AZ

6AM City
Motion Picture and Video Production • 51 - 200 employees
Learn more about 6AM Cityexternal

$96K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

MY DR NOW was built on a simple belief: healthcare should be ridiculously easy. Making that happen at scale requires more than great providers - it requires world-class technology, intelligent systems, and the discipline to constantly improve how care is delivered. AI is not an experiment here. We are using it today to remove friction, eliminate waste, improve patient access, support our teams, and build the infrastructure required to deliver healthcare differently. We are looking for an AI/ML Engineer II who wants to build - someone who sees problems as opportunities, moves quickly from idea to execution, and wants their work to create real impact in the lives of patients and the people caring for them.

What You'll Do

Design, develop, and deploy AI-powered healthcare applications using Large Language Models (LLMs), Machine Learning, and Generative AI Build intelligent agents, RAG solutions, prompt workflows, and AI-driven automation Develop scalable Python applications, backend services, and enterprise integrations Optimize AI/ML models for real-world healthcare operations and patient care Write advanced SQL queries to transform healthcare data into actionable intelligence Collaborate with technology, operations, and clinical teams to rapidly deliver AI solutions Leverage tools like Claude Code, GitHub Copilot, Cursor, and emerging AI platforms to accelerate development Ensure solutions meet standards for security, scalability, performance, and HIPAA compliance Participate in Agile development, testing, code reviews, and CI/CD practices What You Bring Bachelor's degree in Computer Science, AI, Data Science, Software Engineering, or related field 2-3 years of experience building AI/ML or intelligent software applications Experience with healthcare technology, data, or workflows Strong Python and SQL skills Experience developing APIs and integrating enterprise applications Knowledge of Machine Learning and Generative AI frameworks Strong engineering fundamentals and problem-solving skills A builder mindset - curious, resourceful, fast-moving, and focused on outcomes Preferred Experience Azure OpenAI, OpenAI APIs, Azure AI Services LangChain, LangGraph, Semantic Kernel, CrewAI AI Agents, MCP, Prompt Engineering, Function Calling RAG solutions and Vector Databases Microsoft Fabric, Azure Data Factory, Azure SQL TensorFlow, PyTorch, Scikit-learn, MLflow Epic Clarity, Epic Caboodle, FHIR, HL7 Claude Code, GitHub Copilot, Cursor Git, Azure DevOps, CI/CD, Docker, Kubernetes Company Description MY DR NOW, the largest privately-held, privately-owned Primary Care Provider in Arizona.

We offer a 100% company-paid health insurance, 100% paid licensure & DEA, matching 401k, paid vacation & sick time, PLUS dental, vision, life insurance, and bonuses! At MY DR NOW, we provide the opportunity to grow with us and change the way healthcare is delivered.

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