ML Engineer Visa Sponsorship Jobs in Ohio
Ohio's ML engineer hiring is anchored in Columbus, Cincinnati, and Cleveland, with employers like Nationwide, Fifth Third Bank, and Procter & Gamble regularly seeking machine learning talent. The state's growing fintech, healthcare, and manufacturing sectors drive consistent demand, and several Ohio universities supply strong research pipelines that attract international candidates needing visa sponsorship.
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Get Access To All JobsREQUIRED SKILLS
- Languages: Python (required); SQL; optional Java/Scala
- ML/MLOps: MLflow (or equivalent), model registry, monitoring, evaluation pipelines
- Data: Spark, DataFrames, data modeling fundamentals, feature engineering
- DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional)
- Cloud: Azure, logging/monitoring
- Experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML pipelines.
GOOD TO HAVE
- Understanding of Data Science models
- Exposure to Deep Learning frameworks such as TensorFlow or PyTorch
- Solid understanding of feature engineering, model evaluation, and experimentation.
PREFERRED TRAITS
- Strong communication and storytelling skills with data
- Ability to work in a collaborative and fast-paced environment
- Passion for solving complex business problems using data
Roles & Responsibilities
ML Engineering & Delivery
- Lead the design and implementation of production ML pipelines for training, batch inference, and real-time/near-real-time scoring.
- Translate Data Science prototypes into robust, maintainable services and workflows with strong testing, observability, and reliability.
- Build and manage feature engineering workflows, feature stores (where applicable), and reusable ML components.
- Drive model packaging and deployment patterns (containers, serverless, managed endpoints) and optimize for performance and cost.
MLOps
- Implement CI/CD for ML (model versioning, automated testing, promotion gates, rollback strategies) using Azure DevOps / GitHub Actions integrated with Databricks
- Leverage MLflow (Databricks native) for experiment tracking, model registry, and lifecycle management
- Establish best practices for model monitoring: data drift, concept drift, model degradation, and alerting.
- Define and enforce guardrails for responsible AI: bias checks, explainability, privacy controls, and auditability.
Data & Platform Collaboration
- Partner with Data Engineering on data quality, lineage, and availability to ensure reliable model inputs.
- Work with Cloud/Platform teams to ensure scalable infrastructure (compute, networking, IAM, secrets, logging).
- Influence target architecture and technology decisions for the ML platform roadmap.
Leadership & Mentoring
- Provide technical leadership and mentorship to ML Engineers and junior team members.
- Conduct design reviews, code reviews, and establish engineering standards.
- Coordinate delivery plans, estimate work, and manage technical risks and dependencies.
TCS Employee Benefits Summary:
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $110,000-$140,000 a year
Location: Blue Ash, OH
Job Function: TECHNOLOGY
Role: Engineer
Job Id: 405142
Desired Skills: Machine Learning
REQUIRED SKILLS
- Languages: Python (required); SQL; optional Java/Scala
- ML/MLOps: MLflow (or equivalent), model registry, monitoring, evaluation pipelines
- Data: Spark, DataFrames, data modeling fundamentals, feature engineering
- DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional)
- Cloud: Azure, logging/monitoring
- Experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML pipelines.
GOOD TO HAVE
- Understanding of Data Science models
- Exposure to Deep Learning frameworks such as TensorFlow or PyTorch
- Solid understanding of feature engineering, model evaluation, and experimentation.
PREFERRED TRAITS
- Strong communication and storytelling skills with data
- Ability to work in a collaborative and fast-paced environment
- Passion for solving complex business problems using data
Roles & Responsibilities
ML Engineering & Delivery
- Lead the design and implementation of production ML pipelines for training, batch inference, and real-time/near-real-time scoring.
- Translate Data Science prototypes into robust, maintainable services and workflows with strong testing, observability, and reliability.
- Build and manage feature engineering workflows, feature stores (where applicable), and reusable ML components.
- Drive model packaging and deployment patterns (containers, serverless, managed endpoints) and optimize for performance and cost.
MLOps
- Implement CI/CD for ML (model versioning, automated testing, promotion gates, rollback strategies) using Azure DevOps / GitHub Actions integrated with Databricks
- Leverage MLflow (Databricks native) for experiment tracking, model registry, and lifecycle management
- Establish best practices for model monitoring: data drift, concept drift, model degradation, and alerting.
- Define and enforce guardrails for responsible AI: bias checks, explainability, privacy controls, and auditability.
Data & Platform Collaboration
- Partner with Data Engineering on data quality, lineage, and availability to ensure reliable model inputs.
- Work with Cloud/Platform teams to ensure scalable infrastructure (compute, networking, IAM, secrets, logging).
- Influence target architecture and technology decisions for the ML platform roadmap.
Leadership & Mentoring
- Provide technical leadership and mentorship to ML Engineers and junior team members.
- Conduct design reviews, code reviews, and establish engineering standards.
- Coordinate delivery plans, estimate work, and manage technical risks and dependencies.
TCS Employee Benefits Summary:
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $110,000-$140,000 a year
Location: Blue Ash, OH
Job Function: TECHNOLOGY
Role: Engineer
Job Id: 405142
Desired Skills: Machine Learning
ML Engineer Job Roles in Ohio
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Search ML Engineer Jobs in OhioML Engineer Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for ML engineers?
Large Ohio-headquartered employers with a track record of H-1B sponsorship for ML roles include Nationwide Insurance, JPMorgan Chase's Columbus operations, Procter & Gamble in Cincinnati, and Cleveland Clinic. Defense and aerospace contractors like Battelle and Leidos also sponsor ML engineers regularly. Consulting firms and cloud technology companies with Ohio delivery centers are additional sources of sponsorship.
Which visa types are most common for ML engineer roles in Ohio?
The H-1B is the most common visa for ML engineers in Ohio, as machine learning roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. OPT and STEM OPT extensions are frequently used by candidates from Ohio State University, Carnegie Mellon's Pittsburgh campus, and other nearby research schools while transitioning to H-1B sponsorship.
Which cities in Ohio have the most ML engineer sponsorship jobs?
Columbus accounts for the largest share of ML engineer sponsorship activity in Ohio, driven by its concentration of financial services firms, insurance companies, and a growing tech startup scene. Cincinnati follows, with strength in consumer goods, healthcare, and logistics. Cleveland has notable demand through its healthcare institutions, including Cleveland Clinic and University Hospitals, which invest heavily in applied machine learning.
How to find ml engineer visa sponsorship jobs in Ohio?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse ML engineer openings in Ohio without sorting through roles that won't support international candidates. You can narrow results by city and role type to focus on Columbus, Cincinnati, or Cleveland employers who have actively sponsored visas for machine learning positions.
Are there any Ohio-specific considerations for ML engineers pursuing visa sponsorship?
Ohio's lower cost of living compared to coastal tech hubs means prevailing wage requirements under the H-1B Labor Condition Application are generally set at Midwest market rates, which can make sponsorship more accessible for mid-sized Ohio employers. The state also benefits from strong university research partnerships, particularly with Ohio State University and Case Western Reserve, which create direct pipelines from academic ML research into sponsored industry roles.
What is the prevailing wage for sponsored ml engineer 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.
See which ml engineer employers are hiring and sponsoring visas in Ohio right now.
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