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Machine Learning Engineer Opt Jobs in Columbus, OH

J.P. Morgan

WFP Machine Learning Scientist

Columbus, OH · On-site +1

Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines. * 2+ years of experience leading AI ...

Deloitte

AI Solutions Architect

Columbus, OH · On-site

$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 ...

Monitise

AI Engineer

Columbus, OH

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 ...

Fiserv, Inc.

AI Engineer

Columbus, OH · On-site

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 ...

Deloitte

Senior AI Engineer - SFL Scientific

Columbus, OH

$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 ...

Aep

AI Security Operations Analyst

Columbus, OH

Google Professional Machine Learning Engineer * AWS Certified Machine Learning * IBM Certified AI Engineer What We're Looking For: Security Spec Sr (SG7) Education requirements are listed below:

New

Zobility

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

... machine learning in use within proof-of-technology concepts to deployed IoT projects ... engineering with a focus on the automotive industry. • Bachelor's degree in engineering or ...

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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 Jul 16, 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:
Machine Learning Engineer Opt jobs near you
Product Manager - Machine Learning Intelligence Operations

Product Manager - Machine Learning Intelligence Operations

JPMorgan Chase & Co.

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted 9 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

Job description


JPMorgan Chase Consumer and Community Bank (CCB) is seeking a talented and highly motivated leader to join the Machine Learning & Intelligent Operations (MLIO) team as Vice President, Product Manager. This role will support the Transcription and Conversational Insights Product Area. The MLIO team is dedicated to developing innovative solutions using AI, machine learning, and a design-thinking approach to significantly enhance both customer and employee experiences.
As a Product Manager in Machine Learning & Intelligent Operations (MLIO) team, you will define the strategy for your product, design, and execute on the product roadmap while embracing the latest Artificial Intelligence (AI) technologies and best practices. You will lead cross-functional teams comprising technologists, data scientists, researchers, designers, and analytics members to modernize the service experience for tens of millions of customers. Your relentless focus on the customer and employee experience will help establish the team's priorities to maximize the value of the product and the work of the modeling and development teams.
Job responsibilities
  • Define the product strategy, roadmap, prioritization, and backlog for machine learning applications

  • Lead agile product teams that include product associates, data scientists, machine learning engineers, and data analytics members

  • Manage existing product features and actively lead the research, definition, and development of new features to advance the product roadmap and performance

  • Maximize product value delivered through backlog creation, management, and prioritization of epics and user stories

  • Partner with user research and business/operations teams to analyze and ideate customer experience, behavior, and improvement opportunities

  • Prioritize 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 the product roadmap

  • Stay abreast of industry trends, emerging technologies, and best practices in AI and machine learning to continuously improve product offerings

  • Foster a culture of innovation, collaboration, and continuous improvement within the team

Required qualifications, capabilities, and skills
  • 6+ years of experience in Technical Product Management, ideally with AI/ML-related products

  • Proven experience leading multi-disciplinary teams in a large, matrixed organization and fast-paced agile development environment

  • Demonstrated ability to make strategic decisions while candidly challenging the status quo to drive the right employee and customer outcomes

  • Applied expertise in a variety of AI and machine learning techniques and technologies

  • Strong technical acumen: ability to independently manage large and complex relationships with internal technology partners

  • Ability to harness data and the power of analytics and customer insights for comprehensive strategy planning

  • Excellent communicator with the ability to fluidly interact with senior leaders, key stakeholders, employees, and third-party vendors

  • Preferred qualifications, capabilities, and skills
    • Experience working in or with customer service operations

  • Strong problem-solving skills and the ability to think creatively and strategically

  • Experience with cloud-based AI/ML platforms and tool

Why Join Us
  • Be part of a forward-thinking team that is at the forefront of AI and machine learning innovation

  • Work on impactful projects that transform customer and employee experiences

  • Collaborate with a diverse and talented team of professionals

  • Enjoy a dynamic and inclusive work environment that fosters growth and development

  • If you are passionate about leveraging AI and machine learning to drive customer service transformation and have a proven track record in product management, we encourage you to apply

About Us
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.
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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