Machine Learning Visa Sponsorship Jobs in Arizona
Arizona's machine learning job market is anchored by Intel's semiconductor research campus in Chandler, Honeywell's aerospace AI division in Phoenix, and a growing cluster of fintech and health-tech firms in Scottsdale. Arizona State University's applied AI programs feed a strong local talent pipeline, and many employers in the state actively sponsor H-1B visas for qualified machine learning engineers and researchers.
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Get Access To All JobsINTRODUCTION
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future!
ABOUT THE ROLE
We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role.
WHY JOIN US?
- Competitive Base Salary
- Company paid health plan for employees
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
JOB DETAILS
Responsibilities:
- Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
- Ensure the robustness, scalability, and enterprise-level security of solutions.
- Collaborate with the data science team to transform prototypes into new products, services, and features.
- Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation.
- Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
- Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data.
- Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices.
- Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools.
QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus.
- Minimum of 6 years of experience as a Machine Learning Engineer or similar role.
- Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting.
- Proven experience in designing and implementing machine learning solutions at scale on AWS.
- Solid experience in software development with a focus on quality, performance, and scalability.
- Proven ability to design and implement robust data pipelines.
- Strong experience with data modeling, data access, and data storage techniques.
- Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills, attention to detail, and ability to think creatively.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
- Strong passion for learning and adapting to new technologies.
- AWS Certified Machine Learning or similar certification will be a plus.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
INTRODUCTION
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future!
ABOUT THE ROLE
We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role.
WHY JOIN US?
- Competitive Base Salary
- Company paid health plan for employees
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
JOB DETAILS
Responsibilities:
- Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
- Ensure the robustness, scalability, and enterprise-level security of solutions.
- Collaborate with the data science team to transform prototypes into new products, services, and features.
- Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation.
- Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
- Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data.
- Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices.
- Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools.
QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus.
- Minimum of 6 years of experience as a Machine Learning Engineer or similar role.
- Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting.
- Proven experience in designing and implementing machine learning solutions at scale on AWS.
- Solid experience in software development with a focus on quality, performance, and scalability.
- Proven ability to design and implement robust data pipelines.
- Strong experience with data modeling, data access, and data storage techniques.
- Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills, attention to detail, and ability to think creatively.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
- Strong passion for learning and adapting to new technologies.
- AWS Certified Machine Learning or similar certification will be a plus.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Machine Learning Job Roles in Arizona
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Search Machine Learning Jobs in ArizonaMachine Learning Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Arizona?
Intel, Honeywell, and Microchip Technology are among the most consistent H-1B sponsors for machine learning roles in Arizona, particularly in the Phoenix metro area. Health-tech companies like Banner Health and Dignity Health have also filed sponsorships for AI and ML positions. Scottsdale-based fintech firms and several semiconductor startups in the Chandler and Tempe corridors round out the sponsoring employer base.
Which visa types are most common for machine learning roles in Arizona?
The H-1B is the most common visa category for machine learning engineers and researchers in Arizona, as ML roles consistently meet the specialty occupation standard requiring a bachelor's degree or higher in computer science, data science, or a related field. Candidates with extraordinary ability may qualify for the O-1A. Graduates from Arizona universities often begin on OPT or STEM OPT before transitioning to H-1B sponsorship.
Which cities in Arizona have the most machine learning sponsorship jobs?
Phoenix and its immediate suburbs account for the majority of machine learning visa sponsorship activity in Arizona. Chandler is a significant hub due to Intel's large semiconductor campus. Tempe benefits from its proximity to Arizona State University and attracts mid-stage tech companies. Scottsdale draws fintech and health-tech employers with ML teams. Tucson has a smaller but active market tied to University of Arizona research partnerships.
How to find machine learning visa sponsorship jobs in Arizona?
Migrate Mate lets you filter machine learning jobs specifically by visa sponsorship availability and state, making it straightforward to identify Arizona employers actively hiring international candidates. Because sponsorship willingness varies widely even within the same industry, filtering to confirmed sponsors saves significant time. Migrate Mate's listings cover roles across Phoenix, Chandler, Tempe, and Scottsdale, where Arizona's ML hiring is most concentrated.
Are there any Arizona-specific considerations for machine learning job seekers seeking sponsorship?
Arizona's growing semiconductor and aerospace sectors create ML demand that differs from pure software markets, meaning candidates with hardware-adjacent ML skills, such as edge inference or sensor data modeling, may find stronger fit here than in coastal tech hubs. Arizona State University's partnerships with Intel and local industry also produce a well-connected alumni network. Prevailing wage requirements for H-1B petitions still apply and are set by the Department of Labor based on the specific role and location.
What is the prevailing wage for sponsored machine learning jobs in Arizona?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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