Machine Learning Engineer | MLOps & Scalable Systems Job at Arizona Public Servi

Our present and future success depends on the creative and dedicated people of our company who demonstrate the principles outlined in the APS Promise: Design for Tomorrow, Empower Each Other and Succeed Together.

Summary

Machine Learning Engineer | MLOps & Scalable Systems Are you a senior‑level Machine Learning Engineer ready to make a big impact at scale? We’re looking for a highly skilled ML Engineer to lead the design and deployment of production‑grade machine‑learning systems in a complex enterprise environment. You’ll own the full MLOps lifecycle—from prototyping to monitoring—and architect solutions that power intelligent, real‑time decision‑making across critical business functions. This is a high‑visibility role where you’ll collaborate with cross‑functional teams, influence architecture, and help define best practices that shape the future of ML at scale.

What You’ll Do

• Lead MLOps initiatives: design, build, deploy, and monitor end‑to‑end ML solutions that are scalable, reliable, and secure.
• Architect for scale and speed: build applications optimized for low‑latency on high‑volume data pipelines and streaming environments.
• Advise and innovate: act as a thought partner to data scientists and engineering leaders, bringing deep domain expertise in ML model design and infrastructure.
• Collaborate cross‑functionally: work with enterprise architects, product teams, and data scientists to deliver real‑world business value.
• Own quality and governance: establish and maintain best practices for ML lifecycle management, including CI/CD, monitoring, testing, and documentation.

You’ll Be a Great Fit If You Have

• Held a Machine Learning Engineer or MLOps role in a large‑scale enterprise environment.
• Deep experience with modern ML models, cloud‑native data platforms, and orchestration tools (e.g., Kubeflow, SageMaker, MLflow).
• Proven ability to design scalable ML architectures for streaming and batch use cases.
• A mindset for mentorship and technical leadership, with the ability to guide teams on best practices in production ML.

Minimum Requirements

• BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field.
• Minimum four (4) years of directly related experience in data analytics, data science, predictive modeling, machine learning, statistical modeling or a comparable user‑experience role.
• Advanced degree and at least two (2) years of directly related experience, or equivalent combination of education and experience with demonstrated analytical and programming skills.

Preferred Special Skills, Knowledge or Qualifications

• Masters or Doctorate degrees in related fields.
• Knowledge or experience in the utility industry and its business functions.
• Certification in Data Science and/or predictive analytics.
• Proficiency in R, Python, SQL and other commonly used programming languages and tools.
• Strong communication, presentation and writing skills.
• Ability to lead teams in evaluating and implementing solutions.
• Experience working with internal and external stakeholders at all levels of management.

EEO Statement

Pinnacle West Capital Corporation and its subsidiaries and affiliates maintain a continuing policy of nondiscrimination in employment. We provide equal opportunity in all phases of the employment process in compliance with applicable federal, state, and local laws and regulations.

Additional Information

We do not offer sponsorship for U.S. work authorization. Applicants must be U.S. persons. The position may require access to materials subject to export control laws.

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