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Director Machine Learning Jobs in Arizona (NOW HIRING)

USAA

AI/ML Engineer II

Phoenix, AZ · On-site

$116.10K - $139.40K/yr

Work with cross-functional team to contribute to machine learning projects throughout the machine ... Directors. The above description reflects the details considered necessary to describe the ...

USAA

AI/ML Engineer II

Phoenix, AZ · On-site +1

$113.70K - $136.50K/yr

Work with cross-functional team to contribute to machine learning projects throughout the machine ... Directors. The above description reflects the details considered necessary to describe the ...

Forhyre

AI Cloud Solutions Director

Phoenix, AZ

AI Cloud Solutions Director Company Overview: Forhyre is a leading technology solutions provider ... Deep understanding of AI technologies, such as machine learning, natural language processing, and ...

WTB West

Machine Operator II

Phoenix, AZ · On-site

$18 - $19/hr

JOB SUMMARY The Machine Operator II is an entry-level position responsible for learning and ... directed by supervisor. * Follow all PPE, safety, and environmental compliance procedures.

Wm T Burnett West LLC

Machine Operator II

Phoenix, AZ

$18 - $19/hr

Description JOB SUMMARY The Machine Operator II is an entry-level position responsible for learning ... directed by supervisor. * Follow all PPE, safety, and environmental compliance procedures.

onsemi

Transformation Program Associate

Scottsdale, AZ · On-site

Operate in a small, agile group with direct access to executive sponsors, reporting directly to the ... Preferred : • Internship or project experience in AI, machine learning, or data science. • ...

Epiq

Advanced Technologies Consultant

Phoenix, AZ · On-site

$110K - $135K/yr

... machine learning and generative AI. Working closely with the Associate Director and the broader Advanced Technologies Core practice group, the Consultant advises clients on defensible workflows and ...

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$33.5K

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$131.4K

How much do director machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for director machine learning in Arizona is $85,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $98,800.00 per year, depending on experience, location, and employer.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the key skills and qualifications needed to thrive in the Director Machine Learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.
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What cities in Arizona are hiring for Director Machine Learning jobs? Cities in Arizona with the most Director Machine Learning job openings:
Director Machine Learning jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Prime Solutions Group, Inc.

Goodyear, AZ • On-site

$110K/yr

Full-time

Posted 14 days ago

Job description

Job Type
Full-time
Description
Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation's leading defense companies to deliver mission-critical technology.
Our work spans the full system lifecycle-from R&D to operational deployment-supporting the Department of Defense, Intelligence Community, and federal partners. At PSG, you'll join a small, agile team where your contributions have a direct impact while working alongside top-tier engineering talent.
Position Overview
Turn machine learning into real-world mission capability.
PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production-developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments.
You'll work at the intersection of machine learning, software engineering, and DevSecOps, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions.
What You'll Do
  • 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

Requirements
  • 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 Qualifications
  • 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

Why Join PSG?
At PSG, you're not just taking a job-you're building technology that matters.
  • Competitive compensation & benefits
  • 9/80 flexible work schedule
  • Professional development & tuition assistance
  • Small, agile team with high ownership and visibility
  • Work on mission-critical systems supporting national security
  • Opportunities to grow across AI/ML, software engineering, and platform development

Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems.
Salary Description
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.

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