ZipRecruiter

Log In

1

Machine Learning Architect Jobs in Arizona (NOW HIRING)

Prosum Inc.

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

JOB SUMMARY The role of Senior Machine Learning Engineer will architect and optimize real-time, high-throughput, and ultra-low latency image pipelines for next-generation Mask Inspection Tools.

Intel

Sr. Machine Learning Engineer

Phoenix, AZ

$103K - $142K/yr

  • Medical

  • Retirement

  • PTO

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... Ability to explain research results, architectural decisions, and trade-offs to both technical and ...

Fairygodboss

Senior Software Architect - .Net/Python

Phoenix, AZ · On-site

$112 - $229/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI, Machine Learning & Intelligent Automation * Define and drive AI architecture strategies leveraging Large Language Models (LLMs), AI agents, machine learning, and intelligent automation. * Design ...

Sarian, Inc.

Snowflake Architect

Scottsdale, AZ · On-site

$64.25 - $82.50/hr

Must Have Technical/Functional Skills The Snowflake Architect will lead the design, development ... Machine Learning: * Strong experience creating and tuning machine learning models in Azure and ...

Sonsoft Inc

Tablue Architect

Phoenix, AZ

Tableau Architect * Bigdata - Hive, Pig, MapR, Spark. * ETL - Datastage, Unix Scripting ... Machine Learning - Scala, Python possess strong AMEX domain expertise. Qualifications * Bachelor ...

Encora

Solution Architect

Scottsdale, AZ

$190K - $191K/yr

Solution Architect Design and guide enterprise-scale solutions that leverage modern software ... Design and oversee end-to-end machine learning pipelines, including data collection, preprocessing ...

Encora

Solution Architect

Scottsdale, AZ · On-site

$190K - $191K/yr

Solution Architect Design and guide enterprise-scale solutions that leverage modern software ... Design and oversee end-to-end machine learning pipelines, including data collection, preprocessing ...

Donato Technologies, Inc

GenAI with Chatbot

Phoenix, AZ · On-site

... architecture Required Qualifications: 10+ years of experience in software development, with a focus on AI and machine learning Proven experience architecting and implementing internal-facing AI ...

IntraEdge

Architect

Phoenix, AZ · On-site

$63 - $83/hr

... machine learning, deep learning, natural language processing, computer vision, or reinforcement learning. • Experience in working with large and complex data sets, and using cloud platforms ...

FHR

12-12-R-Solution Architect - 9150

Phoenix, AZ · On-site

$63.25 - $81.50/hr

This position requires a strong blend of architectural leadership, technical depth, and the ability to collaborate with business stakeholders, data engineers, machine learning practitioners, and ...

next page

Showing results 1-20

All JobsMachine Learning Architect JobsMachine Learning Architect Jobs in Arizona

Machine Learning Architect information

See Arizona salary details

$43.3K

$120K

$187.8K

How much do machine learning architect jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning architect in Arizona is $119,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $154,700.00 per year, depending on experience, location, and employer.

What does a machine learning architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What skills and qualifications are needed to be a machine learning architect?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What is the salary of a machine learning architect?

The salary of a machine learning architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, cloud platforms, or specific tools may earn higher compensation, often exceeding $180,000 per year.

What are popular job titles related to Machine Learning Architect jobs in Arizona?

For Machine Learning Architect jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Machine Learning Architect jobs in Arizona look for?

The top searched job categories for Machine Learning Architect jobs in Arizona are:

Machine Learning Architect jobs near you
Infographic showing various Machine Learning Architect job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,986 per year, or $57.7 per hour.

Sr. Machine Learning Engineer

Prosum Inc.

Phoenix, AZ • On-site

$130K - $150K/yr

Other

Posted 13 days ago

Job description

Job Description
Sr. Machine Learning Engineer
Salary Range: $130k to $150k
Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will be onsite 4 days a week and 1 remote day.
JOB SUMMARY
The role of Senior Machine Learning Engineer will architect and optimize real-time, high-throughput, and ultra-low latency image pipelines for next-generation Mask Inspection Tools. Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU parallel computing, ensuring deep learning models and CV algorithms seamlessly processing massive, high-bandwidth streaming data at production scale.
ESSENTIAL DUTIES AND RESPONSIBILITIES
High-Performance Computing Pipeline Architecture
  • Design, implement, and optimize high-throughput, low-latency image processing pipelines for real-time optical inspection and machine vision systems.
  • Develop scalable architectures capable of processing large volumes of imaging data while meeting stringent latency and reliability requirements.
  • Profile and optimize system performance across CPU, GPU, memory, and I/O subsystems.
GPU Acceleration
  • Design, develop, and optimize CUDA kernels to accelerate deep learning inference and classical computer vision algorithms.
  • Maximize GPU utilization through efficient memory management, kernel optimization, and parallel programming techniques.
  • Evaluate and implement performance improvements using NVIDIA GPU technologies and profiling tools.
Model Deployment & Optimization
  • Optimize, quantize, and deploy machine learning models using TensorRT, ONNX Runtime, or similar inference frameworks.
  • Integrate AI models into production-grade C++ and Python applications.
  • Improve inference throughput, latency, and resource utilization while maintaining model accuracy.
  • Develop automated deployment and validation pipelines for machine learning models.
Concurrency & Systems Optimization
  • Architect and implement multi-threaded, high-concurrency software components for data acquisition, buffering, streaming, and real-time processing.
  • Design robust synchronization and communication mechanisms between hardware interfaces and AI processing pipelines.
  • Optimize end-to-end system performance for deterministic, real-time execution.
Cross-Functional Collaboration
  • Partner with machine learning scientists, computer vision engineers, hardware engineers, and software developers to deliver integrated AI solutions.

Please view our Privacy Policy.

Apply