AI ML Engineer Visa Sponsorship Jobs in Nevada
Nevada's AI/ML engineering market centers on Las Vegas and Reno, where gaming analytics companies like MGM Resorts and Caesars Entertainment, cloud infrastructure firms, and a growing tech corridor around the Switch data campuses drive steady demand. Employers here regularly sponsor H-1B visa and O-1 visas for qualified candidates with machine learning and deep learning expertise.
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Get Access To All JobsINTRODUCTION
The SHOW comes alive at MGM Resorts International.
Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests.
THE JOB:
We are seeking a senior-level Artificial Intelligence and Machine Learning Operations Engineer to design, implement, and optimize scalable machine learning and artificial intelligence deployment pipelines that power real-world business impact.
In this role, you will partner closely with Data Science, Data Engineering, and Analytics teams to ensure models are production-ready, performant, secure, and scalable across cloud platforms. You will automate and operationalize the full machine learning lifecycle, from data ingestion through retraining, while establishing best practices, governance frameworks, and enterprise standards for Artificial Intelligence and Machine Learning Operations.
This is a highly visible individual contributor role that combines hands-on engineering with strategic influence across various initiatives.
THE DAY-TO-DAY:
- Design, build, and operate end-to-end machine learning and artificial intelligence pipelines supporting batch, streaming, and real-time inference use cases
- Automate the full machine learning lifecycle including ingestion, feature engineering, training, validation, deployment, monitoring, and retraining
- Implement CI/CD pipelines for machine learning systems with automated testing, validation gates, and controlled model promotion
- Develop orchestration workflows using tools such as Airflow, Kubeflow, and MLflow for experiment tracking and governance
- Optimize artificial intelligence workloads for performance, scalability, and cost efficiency using distributed compute and cloud-native services
- Establish monitoring and observability frameworks including performance metrics, data quality checks, drift detection, and bias monitoring
- Design automated retraining strategies including trigger-based, schedule-based, and performance-based refresh cycles
- Create repeatable prompting frameworks and artificial intelligence guardrails to support safe and effective AI-assisted development
- Implement access controls, secrets management, compliance standards, and security best practices across machine learning and artificial intelligence platforms
- Evaluate and operationalize emerging artificial intelligence technologies and vendor tools, identifying measurable business value
- Mentor engineers and data scientists on Machine Learning Operations best practices and influence enterprise-wide architectural standards
THE IDEAL CANDIDATE:
- 5+ years of prior relevant experience in machine learning or artificial intelligence engineering, Data Science, or Analytics Engineering
- Bachelor’s degree in Computer Science, Data Engineering, or related field required
- Deep experience with machine learning and artificial intelligence pipeline development and full lifecycle automation
- Demonstrated ability to provide technical leadership in Machine Learning Operations strategies and pipeline standardization
- Proven impact on improving reliability, scalability, and efficiency of machine learning and artificial intelligence solutions
- Strong proficiency in Python and PySpark
- Experience designing and implementing CI/CD for machine learning workflows, including version control systems such as Git and DVC
- Experience with monitoring, logging, drift detection, and automated retraining frameworks
- Experience with cloud platforms such as Databricks, AWS, GCP, or Azure
- Proficiency in containerization and orchestration including Docker and Kubernetes
- Experience with orchestration and lifecycle management tools such as Airflow, Kubeflow, MLflow, or similar platforms
- Experience guiding teams on artificial intelligence automation best practices
- Experience supporting marketing, revenue, or operations analytics teams preferred
- Familiarity with TensorFlow, PyTorch, Scikit-learn, or similar machine learning frameworks preferred
THE PERKS & BENEFITS:
- Prioritize your wellness, access programs crafted to nurture your mental and physical health.
- Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond!
- Savor delicious meals for free in our employee dining room.
- Park with ease—whether you're on or off shift, it's free!
- From healthcare to financial support and generous time-off options, we’ve got you covered.
- Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities.
Pay Range:
The pay range for this role is:
$130,100.00 - $173,500.00
This range represents a good faith estimate of the salary range that MGM reasonably expects to pay for the position upon hire. The actual salary offer will take into account a wide range of factors, including location.
This position is eligible to participate in the Company’s incentive plan.
Employees in this position are eligible to participate in medical, dental, vision, life insurance, 401(k) plans, and time off plans. Specific program offerings vary by eligibility factors such as geographic location, employment status, and union membership.
Are you ready to JOIN THE SHOW? Apply today!
LOCATION:
US, Texas
INTRODUCTION
The SHOW comes alive at MGM Resorts International.
Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests.
THE JOB:
We are seeking a senior-level Artificial Intelligence and Machine Learning Operations Engineer to design, implement, and optimize scalable machine learning and artificial intelligence deployment pipelines that power real-world business impact.
In this role, you will partner closely with Data Science, Data Engineering, and Analytics teams to ensure models are production-ready, performant, secure, and scalable across cloud platforms. You will automate and operationalize the full machine learning lifecycle, from data ingestion through retraining, while establishing best practices, governance frameworks, and enterprise standards for Artificial Intelligence and Machine Learning Operations.
This is a highly visible individual contributor role that combines hands-on engineering with strategic influence across various initiatives.
THE DAY-TO-DAY:
- Design, build, and operate end-to-end machine learning and artificial intelligence pipelines supporting batch, streaming, and real-time inference use cases
- Automate the full machine learning lifecycle including ingestion, feature engineering, training, validation, deployment, monitoring, and retraining
- Implement CI/CD pipelines for machine learning systems with automated testing, validation gates, and controlled model promotion
- Develop orchestration workflows using tools such as Airflow, Kubeflow, and MLflow for experiment tracking and governance
- Optimize artificial intelligence workloads for performance, scalability, and cost efficiency using distributed compute and cloud-native services
- Establish monitoring and observability frameworks including performance metrics, data quality checks, drift detection, and bias monitoring
- Design automated retraining strategies including trigger-based, schedule-based, and performance-based refresh cycles
- Create repeatable prompting frameworks and artificial intelligence guardrails to support safe and effective AI-assisted development
- Implement access controls, secrets management, compliance standards, and security best practices across machine learning and artificial intelligence platforms
- Evaluate and operationalize emerging artificial intelligence technologies and vendor tools, identifying measurable business value
- Mentor engineers and data scientists on Machine Learning Operations best practices and influence enterprise-wide architectural standards
THE IDEAL CANDIDATE:
- 5+ years of prior relevant experience in machine learning or artificial intelligence engineering, Data Science, or Analytics Engineering
- Bachelor’s degree in Computer Science, Data Engineering, or related field required
- Deep experience with machine learning and artificial intelligence pipeline development and full lifecycle automation
- Demonstrated ability to provide technical leadership in Machine Learning Operations strategies and pipeline standardization
- Proven impact on improving reliability, scalability, and efficiency of machine learning and artificial intelligence solutions
- Strong proficiency in Python and PySpark
- Experience designing and implementing CI/CD for machine learning workflows, including version control systems such as Git and DVC
- Experience with monitoring, logging, drift detection, and automated retraining frameworks
- Experience with cloud platforms such as Databricks, AWS, GCP, or Azure
- Proficiency in containerization and orchestration including Docker and Kubernetes
- Experience with orchestration and lifecycle management tools such as Airflow, Kubeflow, MLflow, or similar platforms
- Experience guiding teams on artificial intelligence automation best practices
- Experience supporting marketing, revenue, or operations analytics teams preferred
- Familiarity with TensorFlow, PyTorch, Scikit-learn, or similar machine learning frameworks preferred
THE PERKS & BENEFITS:
- Prioritize your wellness, access programs crafted to nurture your mental and physical health.
- Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond!
- Savor delicious meals for free in our employee dining room.
- Park with ease—whether you're on or off shift, it's free!
- From healthcare to financial support and generous time-off options, we’ve got you covered.
- Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities.
Pay Range:
The pay range for this role is:
$130,100.00 - $173,500.00
This range represents a good faith estimate of the salary range that MGM reasonably expects to pay for the position upon hire. The actual salary offer will take into account a wide range of factors, including location.
This position is eligible to participate in the Company’s incentive plan.
Employees in this position are eligible to participate in medical, dental, vision, life insurance, 401(k) plans, and time off plans. Specific program offerings vary by eligibility factors such as geographic location, employment status, and union membership.
Are you ready to JOIN THE SHOW? Apply today!
LOCATION:
US, Texas
AI ML Engineer Job Roles in Nevada
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Search AI ML Engineer Jobs in NevadaAI ML Engineer Jobs in Nevada: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Nevada?
MGM Resorts International, Caesars Entertainment, and Switch are among the larger Nevada-based employers with histories of sponsoring work visas for technical roles. Beyond gaming and data infrastructure, companies in fintech, healthcare analytics, and autonomous vehicle testing around Las Vegas and Reno have also filed H-1B petitions for AI and ML engineers. Sponsorship availability varies by company size, budget cycle, and the specific role.
Which visa types are most common for AI ML engineer roles in Nevada?
The H-1B is the most common visa for AI/ML engineers in Nevada, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates with exceptional records of published research, patents, or industry recognition may qualify for the O-1A. Australians can also pursue the E-3 visa, which has no lottery and follows a simpler process.
Which cities in Nevada have the most AI ML engineer sponsorship jobs?
Las Vegas accounts for the majority of AI/ML engineering opportunities in Nevada, driven by large gaming corporations, data centers, and a growing startup ecosystem supported by organizations like the Vegas Tech Fund. Reno is the second-largest market, anchored by Tesla's Gigafactory, Switch's data centers, and proximity to the University of Nevada, Reno, which supplies technical talent and attracts R&D investment.
How to find ai ml engineer visa sponsorship jobs in Nevada?
Migrate Mate is built specifically for international candidates seeking visa sponsorship in the U.S. You can filter directly for AI/ML engineer roles in Nevada, and every listing is screened for sponsorship availability. This saves significant time compared to sorting through postings that never mention visa support. Migrate Mate also provides immigration context alongside job listings, which is particularly useful if you are early in the process of understanding your visa options.
Are there state-specific considerations for AI ML engineers seeking sponsorship in Nevada?
Nevada has no state income tax, which affects prevailing wage comparisons employers must meet when filing Labor Condition Applications for H-1B petitions. The DOL sets prevailing wages by occupation and metropolitan statistical area, so Las Vegas-area and Reno-area rates differ. Nevada's relatively lower cost of living compared to California tech hubs also influences how employers structure compensation, which matters for meeting DOL wage requirements without necessarily matching Bay Area salaries.
What is the prevailing wage for sponsored ai ml engineer jobs in Nevada?
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.