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Director Machine Learning Jobs in Arizona (NOW HIRING)

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

You will report to the Sr. Director of AI & Automation and collaborate to execute on the vision to ... By mentoring a team of data scientists and machine learning engineers, you'll help turn ambitious ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ · On-site

$115.60K - $152.40K/yr

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Core AI / Machine Learning * Deep expertise in : Machine learning fundamentals (supervised ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ

$121.60K - $160.40K/yr

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Core AI / Machine Learning * Deep expertise in : Machine learning fundamentals (supervised ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ

$121.60K - $160.40K/yr

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Core AI / Machine Learning * Deep expertise in : Machine learning fundamentals (supervised ...

Pwc

NGA AI Engineer Senior Manager

Phoenix, AZ

$91K - $321.50K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

FlexTG

Data Engineer

Mesa, AZ · Hybrid

$113.60K - $136.40K/yr

Operationalize machine learning models for batch and streaming workloads * Design and maintain CI ... Knowledge of Power BI semantic models, dataset optimization, and Direct Lake/DirectQuery patterns

TSMC

Senior Agent AI Engineer

Phoenix, AZ · On-site

$128.60K - $176.60K/yr

Develop agent memory systems, task tracking mechanisms, and goal-directed behaviors to enable ... Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related technical ...

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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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Director Machine Learning jobs near you
Sr. Manager AI & Data Science

Sr. Manager AI & Data Science

onsemi

Scottsdale, AZ • On-site

Full-time

Posted 11 days ago

Onsemi rating

8.0

Company rating: 8.0 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Job Description
Sr. Manager AI & Data Science
We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions across onsemi's global operations. This role will be responsible for building and scaling the core AI and ML platforms, managing cross-functional initiatives, and ensuring responsible AI governance in alignment with onsemi's policies. You will report to the Sr. Director of AI & Automation and collaborate to execute on the vision to accelerate AI/ML adoption to deliver business value.
We're looking for a hands-on leader who thrives at the intersection of strategy and execution. As a player-coach, you'll be deeply involved in the technical details-guiding architectural decisions, ensuring AI safety, and shaping workflows using tools like LangGraph, Azure Machine Learning, Databricks, and MLflow. Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector databases will be instrumental in driving innovation.
But your true impact will come from leadership. You'll foster a high-performance culture rooted in technical excellence, accountability, and clarity. By mentoring a team of data scientists and machine learning engineers, you'll help turn ambitious AI roadmaps into scalable, production-ready solutions that power onsemi's digital transformation.
Responsibilities
  1. Provide Technical Leadership: Steer the team through critical architectural decisions spanning the full AI/ML stack-from foundational infrastructure like model registries, CI/CD pipelines, and feature stores, to advanced orchestration and observability frameworks for LLMs using tools such as LangGraph, MLflow, Azure ML, and Databricks.
  2. Collaborate with business domain managers to define product requirements and identify AI opportunities.
  3. Oversee data science project lifecycles, from ideation to production, ensuring alignment with business goals and technical feasibility.
  4. Ensure compliance with onsemi's Responsible AI Use and Governance Policies, including data privacy, model transparency, and ethical use.
  5. Partner with IT, data engineering, and business teams to ensure end to end project delivery & execution.
  6. Mentor and grow a team of AI, data scientists and machine learning engineers.
  7. Represent the AI function in executive forums and cross-functional steering committees.

Qualifications
Requirements:
  • Master's or PhD in Computer Science, Data Science, Statistics, or a related field.
  • 10-15 years of experience in AI/data science, with at least 5 years in a leadership role.
  • Proven experience deploying AI/ML solutions in production environments.
  • Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance.
  • Excellent communication and stakeholder management skills.
  • Experience in semiconductor, manufacturing, or industrial domains is a plus.

Preferred Knowledge and Experience:
  • Semiconductor industry experience.
  • Experience with tools like Databricks, Azure ML, and Snowflake.
  • Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc.
  • Understanding of AI security and compliance frameworks.

Competencies:
  • Self-motivated, able to multitask, prioritize, and manage time efficiently
  • Strong problem-solving skills
  • Data analysis skills. Ability to analyze complex data and turn it into actionable information
  • Collaboration and teamwork across multiple functions and stakeholders around the globe
  • Flexibility and adaptability
  • Process management / process improvement
  • Drive for results, Able to work under pressure and meet deadlines

About Us
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
https://www.onsemi.com/careers/career-benefits
About the Team
We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

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