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Director Machine Learning Jobs in Buckeye, AZ (NOW HIRING)

Prosum Inc.

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$150K - $198K/yr

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 ...

Pwc

AI & GenAI Data Scientist-Director

Phoenix, AZ · On-site

$155K - $410K/yr

As a Director, you will set the strategic direction and lead business development efforts, making ... Responsibilities - Leading the design and development of AI and Machine Learning solutions to ...

Forhyre

AI Cloud Solutions Director

Phoenix, AZ · On-site

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 ...

RLI Corp.

IT Director - AI

Peoria, AZ · On-site

The Director, IT - AI is accountable for developing the enterprise AI roadmap, strengthening ... Experience with generative AI, large language models, cloud-based AI platforms, machine learning ...

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 ...

Pwc

AI Solutions Engineering Delivery Lead

Phoenix, AZ · On-site

$101K - $134K/yr

... Director & Summary At PwC, our people in data and analytics engineering focus on leveraging ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Prosum Inc.

AI Data Scientist

Phoenix, AZ · On-site

Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or ... Stay current with advances in computer vision, machine learning, and AI technologies. * Collaborate ...

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All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Buckeye, AZ

Director Machine Learning information

See Buckeye, AZ salary details

$35.1K

$89.8K

$137.7K

How much do director machine learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for director machine learning in Buckeye, AZ is $89,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $103,500.00 per year, depending on experience, location, and employer.

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 is a director machine learning?

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 primary responsibilities and challenges faced by a director 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.

What are the most commonly searched types of Machine Learning jobs in Buckeye, AZ? The most popular types of Machine Learning jobs in Buckeye, AZ are:
What are popular job titles related to Director Machine Learning jobs in Buckeye, AZ? For Director Machine Learning jobs in Buckeye, AZ, the most frequently searched job titles are:
What cities near Buckeye, AZ are hiring for Director Machine Learning jobs? Cities near Buckeye, AZ with the most Director Machine Learning job openings:
Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Buckeye, AZ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $89,759 per year, or $43.2 per hour.

Sr. Machine Learning Engineer

Prosum Inc.

Phoenix, AZ • On-site

$150K - $198K/yr

Other

Posted 4 days ago

Job description

Job Description
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.

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