AI ML Intern Jobs in Ohio
AI ML Intern jobs in Ohio concentrate in tech, healthcare informatics, financial services, and advanced manufacturing, with Columbus, Cleveland, and Cincinnati anchoring most of the hiring activity. Employers like Nationwide, Cleveland Clinic, and Procter & Gamble maintain consistent AI and machine learning intern programs tied to their Ohio headquarters and research operations. The most in-demand specialties are natural language processing, computer vision, and predictive modeling for enterprise applications. Scan the live roles below and apply to whichever ones fit.
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Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. In this role, you'll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You'll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an Applied AI Engineer-Senior Associate within the Consumer & Community Banking Machine Learning team, you will work with agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job Responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
- Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
- Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
- Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
Promote software and model quality, integrity, and security across the organization
Required qualifications, capabilities, and skills
- Undergraduate and master's degrees in Computer Science or similar , with training and work experience in LLM/NLP and search.
- Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
- Experience in machine learning frameworks, ML Ops tools and practices.
- Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
- Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)
Preferred qualifications, capabilities, and skills
Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. In this role, you'll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You'll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an Applied AI Engineer-Senior Associate within the Consumer & Community Banking Machine Learning team, you will work with agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job Responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
- Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
- Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
- Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
Promote software and model quality, integrity, and security across the organization
Required qualifications, capabilities, and skills
- Undergraduate and master's degrees in Computer Science or similar , with training and work experience in LLM/NLP and search.
- Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
- Experience in machine learning frameworks, ML Ops tools and practices.
- Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
- Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)
Preferred qualifications, capabilities, and skills
Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
See All 6 AI ML Intern Jobs in Ohio
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Find AI ML Intern JobsAI ML Intern Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
AI ML Intern Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
What Ohio Employers Look For
The qualifications that appear most often in AI ML intern jobs across Ohio.
- Currently enrolled in a bachelor's or master's degree program in computer science or a related field
- Proficiency in Python and at least one machine learning framework such as TensorFlow or PyTorch
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques
- Experience with statistical analysis and working with large structured or unstructured datasets
- Ability to collaborate on cross-functional teams and communicate technical findings to non-technical stakeholders
- Exposure to cloud platforms such as AWS, Google Cloud, or Azure for model deployment or data pipelines
AI ML Intern Jobs in Ohio: Frequently Asked Questions
How do you become a ai ml intern in Ohio?
The most direct path is enrollment in a computer science, data science, or electrical engineering program at an Ohio university, since most intern roles require active student status. Ohio has no state license or registration for AI and machine learning work, so hiring decisions rest on coursework, projects, and technical skills. Universities like Ohio State, Case Western Reserve, and University of Cincinnati have strong pipelines into local tech and healthcare employers, and completing relevant coursework in machine learning or deep learning significantly strengthens your candidacy.
Which companies hire ai ml interns in Ohio?
Companies currently hiring ai ml interns in Ohio include JPMorganChase, CVS Health, and Procter & Gamble, per current listings on Migrate Mate as of September 2026. Ohio's concentration of large financial, healthcare, and manufacturing headquarters means intern programs here often involve applied ML work on real production systems rather than isolated research projects.
Which Ohio cities have the most ai ml intern jobs?
Columbus, Dayton, and Cincinnati have the most ai ml intern openings in Ohio. Columbus leads because of its density of insurance, fintech, and retail technology headquarters, while Cleveland's strength in health systems and industrial companies drives demand there, and Cincinnati's concentration of consumer goods and professional services firms supports a steady pipeline of openings.
Are there remote ai ml intern jobs in Ohio?
Yes, and more than most fields. About 0% of ai ml intern openings tied to Ohio are remote or hybrid as of September 2026, reflecting how well the analytical and coding-heavy nature of the work translates to distributed settings. The parts of the role most commonly offered remotely are model development, data analysis, and research tasks, while intern cohort activities and stakeholder presentations are more often expected on-site.
How can I get hired as a ai ml intern in Ohio with little or no experience?
The most realistic entry path is applying to structured intern programs at Ohio's large anchor employers, which are designed for students with classroom knowledge but limited professional experience. Nationwide, Huntington Bank, and Cleveland Clinic all run technology intern cohorts that accept candidates earlier in their academic careers. Building a public portfolio on GitHub with completed ML projects, even coursework-based ones, gives hiring managers something concrete to evaluate. Adjacent roles like data analyst intern or software engineering intern at Ohio tech firms also serve as common stepping stones into dedicated ML positions.
Where can I find and apply to ai ml intern jobs in Ohio?
You can find and apply to ai ml intern jobs in Ohio on Migrate Mate, which lists current openings across the state. Search the roles available, find the ones that match your background and target location, and apply directly to each position that fits.
See All 6 AI ML Intern Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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