Machine Learning Visa Sponsorship Jobs in Ohio
Ohio's machine learning job market is anchored by employers like JPMorgan Chase and Nationwide in Columbus, healthcare systems like Cleveland Clinic and University Hospitals in Northeast Ohio, and a growing tech sector supported by Ohio State University's AI research programs. Companies across finance, insurance, and healthcare regularly sponsor H-1B visas for qualified machine learning engineers and data scientists.
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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.
BASIC 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.
BASIC 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 Ohio
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Search Machine Learning Jobs in OhioMachine Learning Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Ohio?
Several large Ohio employers have established H-1B sponsorship histories for machine learning roles. JPMorgan Chase and Nationwide Insurance in Columbus, Cleveland Clinic and Progressive Insurance in Northeast Ohio, and Procter and Gamble in Cincinnati have all filed H-1B petitions for data science and machine learning positions. Ohio's concentration of Fortune 500 companies and major healthcare systems makes it a more active sponsorship market than many comparable states.
Which visa types are most common for machine learning jobs in Ohio?
The H-1B is the most common visa for machine learning roles in Ohio, as these positions typically qualify as specialty occupations requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates with a master's or PhD may also have access to the H-1B advanced degree exemption. International students completing degrees at Ohio State or Case Western Reserve often transition from OPT or STEM OPT while pursuing H-1B sponsorship.
Which cities in Ohio have the most machine learning sponsorship jobs?
Columbus is Ohio's primary hub for machine learning sponsorship, driven by its concentration of financial services firms, insurance companies, and a growing tech sector. Cleveland follows, with demand concentrated in healthcare AI at institutions like Cleveland Clinic and University Hospitals. Cincinnati sees activity from consumer goods and logistics companies. Columbus also benefits from proximity to Ohio State University, which supplies a consistent pipeline of machine learning talent.
How to find machine learning visa sponsorship jobs in Ohio?
Migrate Mate is built specifically for international candidates searching for visa-sponsored roles. You can filter by state and job category to surface machine learning positions in Ohio from employers with active sponsorship histories. This is more targeted than general job searches because Migrate Mate focuses on roles where sponsorship is a stated or demonstrated employer practice, saving you time screening out positions that won't support visa candidates.
Are there any Ohio-specific considerations for machine learning visa sponsorship candidates?
Ohio's lower cost of living compared to coastal tech markets means prevailing wage requirements for machine learning roles are generally set at levels that reflect the regional labor market, which can make Ohio employers more competitive on compensation relative to visa costs. Ohio State University, Case Western Reserve, and the University of Cincinnati produce graduate-level machine learning talent that employers actively recruit, creating established pipelines that some companies have built their sponsorship programs around.
What is the prevailing wage for sponsored machine learning jobs in Ohio?
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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