AI ML Engineering Visa Sponsorship Jobs in Kansas
Kansas has a smaller but growing AI/ML engineering market, with employers like Garmin, Cerner (Oracle Health), and Sprint (T-Mobile) historically sponsoring international engineers in Wichita and Kansas City metro areas. Defense contractors and agricultural technology firms are also expanding machine learning teams, making targeted job searches worthwhile for internationally trained engineers.
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Get Access To All JobsINTRODUCTION
We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for analyzing complex data sets, developing machine learning models, and collaborating with cross-functional teams to provide actionable insights and AI solutions. In addition, under guidance or with minimal supervision, this role will apply machine learning, statistical analysis, and data engineering techniques to address challenging business problems.
Responsibilities
Essential Functions
- Under guidance or with minimal supervision, lead the collection, cleaning, and preprocessing of large datasets from diverse sources
- Conduct advanced exploratory data analysis (EDA) to identify trends, patterns, and anomalies that inform modeling efforts
- Design, implement, and refine predictive models using machine learning and statistical methodologies
- Collaborate with cross-functional teams to translate data-driven insights into product and strategy recommendations
- Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to enhance efficiency
- Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to improve model performance
- Support integration of models into production systems by coordinating with functional and technical teams and monitoring performance post-deployment
- Assist in developing and maintaining processes and tools to ensure model performance, reliability, and data quality
- Create and present compelling data visualizations and reports using advanced graphics and visualization tools
- Identify and leverage both internal and external datasets to drive innovation and support business solutions
- Contribute to the development of custom machine learning models and algorithms across diverse datasets
- Apply predictive modeling to improve user experiences, support revenue growth, and enable data-driven insights
- Support the definition of project scope and business expectations based on data-driven insights
- Provide mentorship and share best practices with junior team members under the guidance of senior staff
- Participate in peer reviews and contribute to the continuous improvement of team processes
- Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies
- Ensure data quality, adherence to governance standards, and compliance with data privacy and AI-related regulations
BASIC QUALIFICATIONS
- Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or Physics or a technical field (such as CIS or IT) relevant to the essential functions of this job description AND a minimum of 1 year of relevant experience
- Experience using systems such as SQL, Python, or R
- Strong knowledge of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
- Demonstrated understanding of advanced descriptive and inferential statistics
- Demonstrates expert knowledge in data analysis methods and tools
- Demonstrated strong and effective verbal, written, and interpersonal communication skills
- Must be team-oriented, possess a positive attitude, and work well with others
- Driven problem solver with proven success in solving difficult problems
- Consistently demonstrates quality and effectiveness in work documentation and organization
PREFERRED QUALIFICATIONS
- Experience with structured database management systems
- Experience with applying statistical methods (e.g. time series analysis, NLP, deep learning, or reinforcement learning)
- Hands-on experience with MLOps, model deployment, and CI/CD for data science workflows
- Exposure to distributed computing (e.g., Spark, Dask) and NoSQL databases
- Understanding of A/B testing and causal inference
- Experience working with unstructured data (text, images, audio, etc.)
- Familiarity with data visualization tools (i.e. Matplotlib, Seaborn)
Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits
INTRODUCTION
We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for analyzing complex data sets, developing machine learning models, and collaborating with cross-functional teams to provide actionable insights and AI solutions. In addition, under guidance or with minimal supervision, this role will apply machine learning, statistical analysis, and data engineering techniques to address challenging business problems.
Responsibilities
Essential Functions
- Under guidance or with minimal supervision, lead the collection, cleaning, and preprocessing of large datasets from diverse sources
- Conduct advanced exploratory data analysis (EDA) to identify trends, patterns, and anomalies that inform modeling efforts
- Design, implement, and refine predictive models using machine learning and statistical methodologies
- Collaborate with cross-functional teams to translate data-driven insights into product and strategy recommendations
- Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to enhance efficiency
- Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to improve model performance
- Support integration of models into production systems by coordinating with functional and technical teams and monitoring performance post-deployment
- Assist in developing and maintaining processes and tools to ensure model performance, reliability, and data quality
- Create and present compelling data visualizations and reports using advanced graphics and visualization tools
- Identify and leverage both internal and external datasets to drive innovation and support business solutions
- Contribute to the development of custom machine learning models and algorithms across diverse datasets
- Apply predictive modeling to improve user experiences, support revenue growth, and enable data-driven insights
- Support the definition of project scope and business expectations based on data-driven insights
- Provide mentorship and share best practices with junior team members under the guidance of senior staff
- Participate in peer reviews and contribute to the continuous improvement of team processes
- Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies
- Ensure data quality, adherence to governance standards, and compliance with data privacy and AI-related regulations
BASIC QUALIFICATIONS
- Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or Physics or a technical field (such as CIS or IT) relevant to the essential functions of this job description AND a minimum of 1 year of relevant experience
- Experience using systems such as SQL, Python, or R
- Strong knowledge of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
- Demonstrated understanding of advanced descriptive and inferential statistics
- Demonstrates expert knowledge in data analysis methods and tools
- Demonstrated strong and effective verbal, written, and interpersonal communication skills
- Must be team-oriented, possess a positive attitude, and work well with others
- Driven problem solver with proven success in solving difficult problems
- Consistently demonstrates quality and effectiveness in work documentation and organization
PREFERRED QUALIFICATIONS
- Experience with structured database management systems
- Experience with applying statistical methods (e.g. time series analysis, NLP, deep learning, or reinforcement learning)
- Hands-on experience with MLOps, model deployment, and CI/CD for data science workflows
- Exposure to distributed computing (e.g., Spark, Dask) and NoSQL databases
- Understanding of A/B testing and causal inference
- Experience working with unstructured data (text, images, audio, etc.)
- Familiarity with data visualization tools (i.e. Matplotlib, Seaborn)
Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits
AI ML Engineering Job Roles in Kansas
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Search AI ML Engineering Jobs in KansasAI ML Engineering Jobs in Kansas: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Kansas?
Garmin's Olathe headquarters is one of the most active sponsors for AI and ML engineering roles in Kansas, particularly for embedded intelligence and navigation systems work. Oracle Health (formerly Cerner) in the Kansas City metro area has also sponsored international engineers for data science and ML positions. Smaller aerospace and agtech firms in Wichita occasionally sponsor for specialized machine learning roles, though at lower volume.
Which visa types are most common for AI ML engineering roles in Kansas?
The H-1B visa is the most common visa category for AI and ML engineers in Kansas, 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 research records may also qualify for the O-1A. Employers in Kansas with established international hiring programs are more likely to have existing sponsorship infrastructure in place.
Which cities in Kansas have the most AI ML engineering sponsorship jobs?
The Kansas City metro area, particularly the Overland Park and Olathe corridors in Johnson County, concentrates the majority of AI and ML engineering sponsorship activity in Kansas. Wichita has a smaller but active market, anchored by aerospace and manufacturing technology firms expanding into predictive analytics and automation. Lawrence occasionally surfaces roles connected to University of Kansas research partnerships and affiliated startups.
How to find ai ml engineering visa sponsorship jobs in Kansas?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify AI and ML engineering roles in Kansas without manually screening each posting. You can search by role type and state to surface positions at Kansas employers who have an active sponsorship history. This is especially useful in a mid-sized market like Kansas, where sponsoring employers are fewer but do exist across tech, defense, and agtech sectors.
What state-specific factors should AI ML engineers know about working in Kansas?
Kansas employers sponsoring AI and ML engineers must meet Department of Labor prevailing wage requirements for the specific county where the work is performed, which can differ between the Kansas City metro and Wichita. The University of Kansas and Kansas State University produce graduate-level ML talent, creating local candidate pipelines that sometimes reduce employer urgency to sponsor internationally. Engineers with backgrounds in aerospace data systems, precision agriculture, or healthcare IT tend to find the most relevant employer matches in the state.
What is the prevailing wage for sponsored ai ml engineering jobs in Kansas?
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.