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Machine Learning Engineer Opt Jobs in Columbus, OH

AI Solutions Architect

Columbus, OH

$60.75 - $80.25/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Senior AI Engineer - SFL Scientific

Columbus, OH · On-site

$100K - $138K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

AI and Data Science Engineer II

Columbus, OH · On-site

$110K - $132K/yr

Translating business goals into machine learning use cases and model design approaches ... Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer ...

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Machine Learning Engineer Opt information

See Columbus, OH salary details

$30.4K

$124.4K

$186.9K

How much do machine learning engineer opt jobs pay per year?

As of Jun 5, 2026, the average yearly pay for machine learning engineer opt in Columbus, OH is $124,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $149,700.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What are popular job titles related to Machine Learning Engineer Opt jobs in Columbus, OH? For Machine Learning Engineer Opt jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Columbus, OH look for? The top searched job categories for Machine Learning Engineer Opt jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Machine Learning Engineer Opt jobs? Cities near Columbus, OH with the most Machine Learning Engineer Opt job openings:
Associate - Product Analyst - Machine Learning & Intelligent Operations

Associate - Product Analyst - Machine Learning & Intelligent Operations

JP Morgan Chase

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted yesterday


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 468 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Come join the Machine Learning & Intelligent Operations team who develops and sustains innovative solutions for Consumer & Community Banking (CCB) Operations, using Artificial Intelligence/Machine Learning (AI/ML), through a design-led approach, to dramatically enhance the customer and employee experience.

Job Summary: As a Product Associate within Machine Learning & Intelligence Operations (MLIO,) you will help drive the book of work for your product, coordinating execution of the product roadmap and embracing Agile methodology and best practices. You will interact with cross-functional teams comprised of technologists, data scientists, researchers, designers and analytics team members, all aligned to a shared strategic roadmap. This role is part of the Area Product Team that owns our Agent Assist Application: evee Assist. As part of this team, you will be relentlessly focused on the employee and/or customer experience, carrying forward the team's priorities to maximize the value of the product and the work of modeling & development teams. 


Job responsibilities

  • Support the product execution, roadmap, prioritization, and backlog for machine learning application supporting customer service (evee Assist)
  • Analyze contact volumes and customer journey/friction points across a variety of channels to inform product feature prioritization 
  • Coordinate activities of agile product-aligned team that includes research, design, data scientists, machine learning engineers, and data analytics partners
  • Manage existing product features and collaborate on the research, definition and development of new features to advance the product roadmap and performance
  • Help to maximize product value delivered through backlog creation, management, and prioritization of epics and user stories
  • Collaborate with user research and business / operations teams to identify and drive customer experience, behavior, and improvement opportunities
  • Refine strategies and solutions to enhance self-service utilization and reduce customer contact volume
  • Collaborate with Controls/Risk, Audit, Compliance, Data & Model Governance and Technology to ensure readiness to deliver on product roadmap
     

Required qualifications, capabilities, and skills

  • Experience in Agile, applied to Technical Product Management, ideally with Artificial Intelligent/Machine Learning related products
  • Familiarity with multi-disciplinary teams in a large, matrixed organization and fast paced agile development environment
  • Demonstrate ability to contribute to strategic decisions, while vocally participating in team activities and adding value on execution activities
  • Technical acumen; ability to grasp and help manage complex relationships with internal technology partners
  • Ability to effectively leverage the power of analytics and customer insights for robust outputs 
  • Strong communicator with ability to fluidly interact with leaders, stakeholders, employees and third party vendors
  • High School Diploma/GED

Preferred qualifications, capabilities, and  skills

  • Experience working in or with customer service operations Promote innovation in product development, user research, and analysis to shape and optimize our offerings.

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

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.

Operations teams develop and manage innovative, secure service solutions to meet clients' needs globally. Developing and using the latest technology, teams work to deliver industry-leading capabilities to our clients and customers, making it easy and convenient to do business with the firm. Teams also drive growth by refining technology-driven customer and client experiences that put users first, providing an unparalleled experience.

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