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Ml Platform Engineer Jobs in Arizona (NOW HIRING)

Cliftonlarsonallen

Lead ML Ops Engineer

Tempe, AZ · On-site

$98K - $129K/yr

Define and execute an enterprise AI/ML platform strategy, encompassing MLOps, LLMOps, and AIOps ... Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions ...

Deloitte

AI Engineer Consultant

Tempe, AZ · Hybrid

... science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI ... solutions. This role is hands-on and delivery-oriented: you will ship production pipelines and ...

Virtuous

Lead Data Platform Engineer

Phoenix, AZ · On-site

$101K - $134K/yr

They are seeking a Lead Data Platform Engineer to design and build a robust data ecosystem that ... Preferred : • dbt certification strongly preferred • Experience enabling AI/ML or natural ...

Virtuous

Lead Data Platform Engineer

Phoenix, AZ · On-site

$101K - $134K/yr

They are seeking a Lead Data Platform Engineer to design, build, and own the systems that power ... Preferred : • dbt certification strongly preferred. • Experience enabling AI/ML or natural ...

Fox

Senior Media Platform Engineer

Tempe, AZ

ABOUT THE ROLE Our Senior Media Platform Engineer role will build and operate the workflow ... Partner with AI/ML stakeholders to evaluate model options (build vs buy vs fine-tune), including ...

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Required Qualifications: 5 years experience in DevOps, CloudOps, or ML Ops. 5 years experience with GCP AIML services (Vertex AI, AI Platform, BigQuery ML) or AWS ML services (SageMaker etc). 5 years ...

IntraEdge

Cloud Platform Engineer

Scottsdale, AZ · Hybrid

$56.25 - $75.25/hr

AI/ML experience preferred. Location: Scottsdale, AZ (Hybrid) Required Qualification (4-8 Yrs) * Strong experience in Kubernetes and GCP * Strong experience in IaC , Terraform , GitHub Actions, helm

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

AI/ML Engineer Location: Phoenix, AZ Experience Level: 8+ years Rate: We are seeking a highly ... Cloud Platforms : Working knowledge of Google Cloud and Azure. * Front-End Frameworks/Libraries

Conch Technologies Inc

Avaya Engineer ( AI/ML )

Phoenix, AZ · On-site

$96K - $132K/yr

Avaya Engineer ( AI/ML ) Location: Phoenix, AZ, Charlotte, NC, and Sunrise, FL ( Onsite 5 days a ... Experience with Five9 Contact Center Platform * Experience with contact center call routing and ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will work closely ...

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All JobsMl Platform Engineer JobsMl Platform Engineer Jobs in Arizona

Ml Platform Engineer information

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$30

$59

$88

How much do ml platform engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ml platform engineer in Arizona is $59.60, according to ZipRecruiter salary data. Most workers in this role earn between $47.02 and $68.75 per hour, depending on experience, location, and employer.

What is an ML Platform Engineer?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What skills and qualifications are needed to thrive as an ML Platform Engineer?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.

What are popular job titles related to Ml Platform Engineer jobs in Arizona?

For Ml Platform Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ml Platform Engineer jobs in Arizona look for?

The top searched job categories for Ml Platform Engineer jobs in Arizona are:

What cities in Arizona are hiring for Ml Platform Engineer jobs?

Cities in Arizona with the most Ml Platform Engineer job openings:

Ml Platform Engineer jobs near you
Infographic showing various Ml Platform Engineer job openings in Arizona as of August 2026, with employment types broken down into 60% Full Time, 37% Part Time, and 3% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $123,965 per year, or $59.6 per hour.

Lead ML Ops Engineer

Cliftonlarsonallen

Tempe, AZ • On-site

$98K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

CliftonLarsonAllen rating

6.7

Company rating: 6.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

20th of 22 rated bookkeepers and accountants

Job description

LA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is growing and seeking to hire an experienced Lead Machine Learning Operations Engineer to join our talented team. This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals.

How you'll create opportunities in this role:

Define and execute an enterprise AI/ML platform strategy, encompassing MLOps, LLMOps, and AIOps, and build reusable frameworks and standards adopted across multiple projects and business units.

Oversee enterprisescale AI platforms supporting model training, inference, evaluation, monitoring, retraining, and governance, including generative AI systems.

Align AI and MLOps initiatives with business objectives, ensuring platforms and pipelines meet scalability, performance, security, regulatory, and cost requirements, including responsible and ethical AI considerations.

Implement and enforce best practices for model and prompt versioning, monitoring, retraining, and automated workflows, ensuring consistent and reliable AI operations.

Lead teams delivering shared AI infrastructure, tooling, and platforms, providing daytoday leadership through coaching, development, and performance management.

Ensure platform reliability and operational excellence by overseeing escalated issue resolution, maintaining highquality documentation, and driving continuous improvement.

Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating insights into roadmap decisions and platform evolution.

What you will need:

6 years of relevant experience required.

  • Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions preferred.
  • Supervisory experience preferred.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in computer science, data science, or related field preferred.

Technical Competencies

  • Advanced proficiency in Python and architectural mastery of objectoriented design across dynamically typed languages.
  • Broad experience integrating and governing multilanguage systems, including Python, JavaScript/TypeScript, and enterprise platforms (e.g., .NET).
  • Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.
  • Ability to define and enforce enterprise standards for AI model lifecycle management, monitoring, reliability, and cost control.
  • Deep understanding of AI system observability, including drift detection, evaluation frameworks, and incident response.
  • Strong experience with cloud architecture, security, compliance, and enterprisescale deployments.
  • Proven ability to guide teams in technical decisionmaking and platform strategy.

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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.


What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012

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