AI Product Engineer Visa Sponsorship Jobs in Missouri
Missouri's AI product engineer hiring is anchored in St. Louis and Kansas City, where companies like World Wide Technology, Centene, and Cerner (now Oracle Health) build enterprise AI platforms at scale. Employers in financial services, healthcare technology, and logistics actively hire for this role, and several have established visa sponsorship track records for qualified international candidates.
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Get Access To All JobsCLA is a top 10 national professional services firm whose purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you. CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.
Our Perks:
- Flexible PTO (designed to offer flexible time away for you!)
- Up to 12 weeks paid parental leave
- Paid Volunteer Time Off
- Mental health coverage
- Quarterly Wellness stipend
- Fertility benefits
- Complete list of benefits
LA is growing and seeking to hire an experienced Machine Learning Operation Engineer: this position offers growth, flexibility and a collaborative work environment.
We’re looking for a motivated and curious Machine Learning Operation Engineer to join our Data Science Team. This is an opportunity to learn, build, and grow alongside experienced developers in a supportive, collaborative environment.
How you’ll create opportunities in this role:
- Assist with design and development of MLOps infrastructure to support the deployment, management, and monitoring of machine learning models within the firm.
- Collaborate with data scientists and engineers to ensure seamless integration of data science and engineering processes.
- Support maintenance of automated workflows and pipelines for efficient model deployment and monitoring.
- Troubleshoot and resolve any issues with model performance, data pipelines, or infrastructure.
- Assist with ensuring the security and scalability of the MLOps infrastructure to handle large volumes of data and models.
- Support maintenance of documentation for MLOps processes and systems.
- Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
- Ensure compliance with data security and privacy regulations.
- Stay up to date with industry trends and advancements in machine learning and MLOps.
Technologies You'll Use
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
- Basic understanding of SQL and experience with ETL pipeline design and maintenance.
- Knowledge of CI/CD concepts and experience with tools like Jenkins, Git, Perforce, etc.
- Proficiency in programming languages such as Python.
- Knowledge of data pipeline architecture and data transformation.
- Knowledge of machine learning model deployment and management.
- Familiarity with performance monitoring and optimization techniques.
- Basic understanding of machine learning and DevOps principles.
What you will need:
- 2+ years' experience as a Data/ML Engineer
- Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Wellness at CLA
To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.
CLA is a top 10 national professional services firm whose purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you. CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.
Our Perks:
- Flexible PTO (designed to offer flexible time away for you!)
- Up to 12 weeks paid parental leave
- Paid Volunteer Time Off
- Mental health coverage
- Quarterly Wellness stipend
- Fertility benefits
- Complete list of benefits
LA is growing and seeking to hire an experienced Machine Learning Operation Engineer: this position offers growth, flexibility and a collaborative work environment.
We’re looking for a motivated and curious Machine Learning Operation Engineer to join our Data Science Team. This is an opportunity to learn, build, and grow alongside experienced developers in a supportive, collaborative environment.
How you’ll create opportunities in this role:
- Assist with design and development of MLOps infrastructure to support the deployment, management, and monitoring of machine learning models within the firm.
- Collaborate with data scientists and engineers to ensure seamless integration of data science and engineering processes.
- Support maintenance of automated workflows and pipelines for efficient model deployment and monitoring.
- Troubleshoot and resolve any issues with model performance, data pipelines, or infrastructure.
- Assist with ensuring the security and scalability of the MLOps infrastructure to handle large volumes of data and models.
- Support maintenance of documentation for MLOps processes and systems.
- Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
- Ensure compliance with data security and privacy regulations.
- Stay up to date with industry trends and advancements in machine learning and MLOps.
Technologies You'll Use
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
- Basic understanding of SQL and experience with ETL pipeline design and maintenance.
- Knowledge of CI/CD concepts and experience with tools like Jenkins, Git, Perforce, etc.
- Proficiency in programming languages such as Python.
- Knowledge of data pipeline architecture and data transformation.
- Knowledge of machine learning model deployment and management.
- Familiarity with performance monitoring and optimization techniques.
- Basic understanding of machine learning and DevOps principles.
What you will need:
- 2+ years' experience as a Data/ML Engineer
- Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Wellness at CLA
To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.
AI Product Engineer Job Roles in Missouri
See all 164+ AI Product Engineer Jobs in Missouri
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Search AI Product Engineer Jobs in MissouriAI Product Engineer Jobs in Missouri: Frequently Asked Questions
Which companies in Missouri sponsor visas for AI product engineers?
World Wide Technology in St. Louis, Oracle Health (formerly Cerner) in Kansas City, and Centene Corporation are among Missouri's larger employers with documented H-1B visa sponsorship histories for technical product roles. Regional financial institutions and logistics technology firms also sponsor, though at lower volumes. Sponsorship patterns shift year to year, so reviewing recent LCA filings on the Department of Labor's disclosure database gives the most current picture.
Which visa types are most common for AI product engineer roles in Missouri?
The H-1B is the most common visa category for AI product engineers in Missouri, as the role typically requires a bachelor's degree or higher in computer science, engineering, or a related field, satisfying the specialty occupation standard. Candidates already holding OPT or STEM OPT may work while their employer files an H-1B petition. O-1A visas are an option for engineers with demonstrable extraordinary ability, though they require substantial documentation.
Which Missouri cities have the most AI product engineer visa sponsorship jobs?
St. Louis and Kansas City account for the large majority of AI product engineer sponsorship activity in Missouri. St. Louis draws from its concentration of enterprise technology firms, healthcare IT, and defense contractors. Kansas City has a growing technology sector anchored by healthcare data companies and financial services firms. Columbia and Springfield have smaller but active tech communities, often connected to university research and regional startup ecosystems.
How to find ai product engineer visa sponsorship jobs in Missouri?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, making it straightforward to search AI product engineer roles in Missouri without sifting through positions that don't sponsor. The platform surfaces opportunities from employers with active sponsorship histories in the state, including St. Louis and Kansas City-based companies. Filtering by role and state on Migrate Mate is a practical starting point for international candidates targeting Missouri.
Are there any Missouri-specific factors AI product engineers should know before pursuing sponsorship?
Missouri does not have state-level visa or immigration requirements, but employers filing H-1B petitions must meet Department of Labor prevailing wage standards specific to the St. Louis or Kansas City metropolitan areas, which differ from national figures. Missouri's universities, including Washington University in St. Louis and University of Missouri, produce engineering graduates who sometimes transition into local sponsorship roles, creating competition for positions at smaller employers with limited sponsorship capacity.
What is the prevailing wage for sponsored ai product engineer jobs in Missouri?
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.