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Software Engineer Ai Model Training Jobs in Ohio

JP Morgan Chase

Lead Software Engineer-AI

Columbus, OH · On-site

  • Medical

  • Retirement

... model or dependency updates. * Influences leaders and senior stakeholders across business, product ... Formal training or certification on software engineering concepts and 5+ years applied experience.

JPMorgan Chase & Co.

Lead Software Engineer-AI

Columbus, OH · On-site

  • Medical

  • Retirement

... model or dependency updates. * Influences leaders and senior stakeholders across business, product ... Formal training or certification on software engineering concepts and 5+ years applied experience.

JPMorgan Chase & Co.

Lead Software Engineer-AI

Columbus, OH · On-site

  • Medical

  • Retirement

... model or dependency updates. * Influences leaders and senior stakeholders across business, product ... Formal training or certification on software engineering concepts and 5+ years applied experience.

JPMorgan Chase & Co

Lead Software Engineer -AI

Columbus, OH · On-site

  • Medical

  • Retirement

... model or dependency updates. * Influences leaders and senior stakeholders across business, product ... Formal training or certification on software engineering concepts and 5+ years applied experience.

JP Morgan Chase

Lead Software Engineer -AI

Columbus, OH · On-site

  • Medical

  • Retirement

... model or dependency updates. * Influences leaders and senior stakeholders across business, product ... Formal training or certification on software engineering concepts and 5+ years applied experience.

GE Aerospace

Software Engineer AI/ML

Evendale, OH · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll spend most of your time developing AI/ML products by training models, developing ... scientists, software engineers, and business stakeholders * Effective collaborator who works ...

GE Aerospace

Software Engineer AI/ML

Evendale, OH · On-site

$109K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll spend most of your time developing AI/ML products by training models, developing ... scientists, software engineers, and business stakeholders * Effective collaborator who works ...

General Electric Company

Software Engineer AI/ML

Evendale, OH · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll spend most of your time developing AI/ML products by training models, developing ... scientists, software engineers, and business stakeholders * Effective collaborator who works ...

J.P. Morgan

Lead Software Engineer-AI

Columbus, OH · On-site

  • Medical

  • Retirement

... model or dependency updates. * Influences leaders and senior stakeholders across business, product ... Formal training or certification on software engineering concepts and 7+ years applied experience.

Jobgether

$104 - $173/hr

... experience training large-scale models across multiple computational nodes. * Strong software ... Familiarity with software engineering practices such as version control, testing, code reviews, and ...

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Software Engineer Ai Model Training information

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What are popular job titles related to Software Engineer Ai Model Training jobs in Ohio?

For Software Engineer Ai Model Training jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ai Model Training jobs in Ohio look for?

The top searched job categories for Software Engineer Ai Model Training jobs in Ohio are:

What cities in Ohio are hiring for Software Engineer Ai Model Training jobs?

Cities in Ohio with the most Software Engineer Ai Model Training job openings:

Software Engineer Ai Model Training jobs near you
Infographic showing various Software Engineer Ai Model Training job openings in Ohio as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Lead Software Engineer -AI

JPMorgan Chase & Co.

Columbus, OH • On-site

$120 - $160/hr

Other

Re-posted 2 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description

Job Description

As aSenior Software Engineer — AI, you will build and ship production-grade, multi-agent AI systems used daily by thousands of engineers. You’ll work on an applied AI platform that automates key stages of the software delivery pipeline—from PRD through architecture, implementation, QA, security, and retrospective—at enterprise scale. You will own agent capabilities end-to-end, with a focus onreliability, evaluation, observability, and cost-per-session. This is not a research or data science role—you will engineer production systems that consistently follow specifications.

Job Responsibilities
  • As a Lead Software Engineer in AI with CCB at JPMorgan Chase you will develop complex and scalable frameworks using appropriate software design, including durable and reusable frameworks leveraged across teams and functions.
  • Develops secure and high-quality production code, and reviews anddebugs code written by others; engineers systems with clear failure modes, retry strategies, and robust operational behavior.
  • Leads cross-functional teams on technological matters within domain of expertise while acting as the function’s go-to subject matter expert.
  • Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies,including pragmatic AI engineering practices.
  • Builds and maintains evaluation and quality mechanisms to detect regressions, measure specification/acceptance-criteria compliance, and surface behavior changes across model or dependency updates.
  • Influences leaders and senior stakeholders across business, product, and technology teams.
Qualifications
  • Formal training or certification on software engineering concepts and 7+ years applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Proficient in one or more programming language(s)(e.g., Python and/or TypeScript; able to build CLI tooling, API integrations, and data pipelines).
  • Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines(including designing multi-step AI workflows: sequential chains, parallel fan-out, conditional routing, and human-in-the-loop checkpoints).
  • Knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines. (e.g.,cloud, artificial intelligence / applied LLM systems, machine learning, mobile, etc.).
  • Experience with agent frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI, or homegrown) and clear opinions on their tradeoffs.
  • Demonstrated experience building systems on top of LLM APIs (endpoint integration, streaming, tool/function calling, and context management).
  • Ability to present and effectively communicate with Senior Leaders and Executives.
  • Understanding of the business including familiarity with JPMC enterprise stack: Cloud Foundry, GKP, Jules CI/CD, TrueCD, Sophia auth.
  • Practical cloud native experience.
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