AI Data Engineer Visa Sponsorship Jobs in Missouri
Missouri's AI data engineer hiring is anchored in St. Louis and Kansas City, where companies like World Wide Technology, Cerner (now Oracle Health), and Express Scripts have established technology centers. Financial services, healthcare IT, and logistics firms across the state regularly sponsor H-1B visas for AI data engineering talent, making Missouri a steady market for 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 Data Engineer Job Roles in Missouri
See all 168+ AI Data Engineer Jobs in Missouri
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Search AI Data Engineer Jobs in MissouriAI Data Engineer Jobs in Missouri: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in Missouri?
World Wide Technology in St. Louis, Oracle Health (formerly Cerner) in Kansas City, and Mastercard's technology operations in St. Louis are among the more consistent H-1B sponsors for data and AI engineering roles in Missouri. Large healthcare systems like SSM Health and BJC HealthCare, along with financial services firms headquartered in the state, also appear in Department of Labor LCA disclosure data for data engineering positions.
Which visa types are most common for AI data engineer roles in Missouri?
The H-1B is the most common visa category for AI data engineers in Missouri, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates already holding OPT or STEM OPT authorization through programs at Washington University in St. Louis or University of Missouri can work before an H-1B petition is filed. The L-1B is also used when candidates transfer within multinational companies with Missouri offices.
How to find ai data engineer visa sponsorship jobs in Missouri?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search AI data engineer roles in Missouri without sorting through positions that won't support an international candidate. Missouri's market is concentrated in St. Louis and Kansas City, so filtering by those metro areas on Migrate Mate narrows results to where most sponsoring employers are actually hiring. Setting up alerts for new postings helps, given the competitive volume in tech and healthcare sectors.
Which cities in Missouri have the most AI data engineer sponsorship jobs?
St. Louis generates the highest volume of AI data engineer sponsorship activity in Missouri, driven by its concentration of technology services firms, healthcare IT companies, and financial institutions. Kansas City is a close second, with a growing presence in fintech, healthcare, and logistics technology. Columbia sees some activity tied to University of Missouri research partnerships, though the volume is significantly smaller than the two major metros.
What state-specific factors should AI data engineers know before targeting Missouri employers?
Missouri employers filing H-1B petitions for AI data engineers must meet Department of Labor prevailing wage requirements for the St. Louis or Kansas City metropolitan statistical areas, which differ from national averages. Washington University in St. Louis and Missouri University of Science and Technology produce a local pipeline of data science graduates, meaning some employers are familiar with sponsoring OPT-to-H-1B transitions. Missouri has no state-level visa or immigration program, so federal H-1B rules govern the process entirely.
What is the prevailing wage for sponsored ai data 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.