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Software Engineer Ai Model Training Jobs in Ohio

GE Aerospace

AI/ML Software Engineer

Evendale, OH · On-site

$95K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summary This role is a hybrid between an AI engineer, data scientist, and software developer ... just training or fine-tuning models, but also crafting effective prompts, validating model ...

Vurvey Labs

AI Software/ Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Vurvey Labs is an applied AI company developing models and platforms that enhance human collaboration. They are seeking a versatile AI Software Engineer to bridge AI initiatives with production ...

Aegis Ventures

Principal Software Engineer

Cleveland, OH · On-site +1

$130K - $175K/yr

... device innovation, AI model training, and improved patient care. Leveraging its strategic ... About the Job As a Principal Software Engineer at Avandra Imaging, you'll serve as a hands-on ...

Doist

Principal Software Engineer

Columbus, OH · On-site

$180 - $240/hr

... device innovation, AI model training, and improved patient care. Leveraging its strategic ... About the Job As a Principal Software Engineer at Avandra Imaging, you'll serve as a hands‑on ...

New

Parallax Advanced Research

Senior Software Engineer

Beavercreek, OH · On-site

$121K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Software Engineer Location: On-Site - Dayton At Parallax, we believe in advancing science ... AI/ML: Feature engineering, model training, hyperparameter tuning, MLOps pipelines • Architecture ...

J.P. Morgan

Senior 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

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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.

AI/ML Software Engineer

GE Aerospace

Evendale, OH • On-site

$95K - $140K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

GE Aerospace rating

8.8

Company rating: 8.8 out of 10

Based on 183 frontline employees who took The Breakroom Quiz

14th of 72 rated aerospace companies

Job description

Job Description Summary
This role is a hybrid between an AI engineer, data scientist, and software developer, designed for someone who can operate across the full lifecycle of AI system development. You'll play a key role in defining, developing, and evolving software in an agile environment. You'll work across the stack, from crafting intuitive front-end interfaces to building robust back-end services, all while collaborating with a team of talented engineers. You will also have the opportunity to research and apply AI-driven solutions to enhance product functionality and user experience, making a direct impact on the future of flight.
Job Description
Key Responsibilities:
  • Design, build, and maintain agentic workflows and autonomous systems
  • Develop and integrate AI models into production-grade applications
  • Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions
  • Implement orchestration logic for multi-agent systems and task automation
  • Write clean, scalable, and maintainable code in support of AI initiatives
  • Monitor and optimize the performance of AI systems in production
  • Stay current with advancements in AI, LLMs, and agentic architectures

Minimum Required Qualifications:
  • Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math)
  • Minimum of 3 years in AI/ML engineering experience.
  • GE Aerospace will not sponsor individuals for employment visas, now or in the future, for this job opening.

Preferred Skills and Qualifications:
  • Provide a valid LinkedIn profile.
  • This role is a hybrid between an AI engineer, data scientist, and software developer, designed for someone who can operate across the full lifecycle of AI system development.
  • Proven experience as a Full Stack Engineer with AI/ML background
  • The work involves using AWS tools to design and build AI-driven systems - not just training or fine-tuning models, but also crafting effective prompts, validating model performance through data analysis, and managing risks like hallucinations or bias.
  • The role requires building prototype-level data pipelines that move data to and from models for training, evaluation, and review.
  • Strong software development skills with proficiency in Python, JupyterHub, GitHub, Visual Studio, etc.
  • Exposure to designing and building agentic workflows or multi-agent systems.
  • Familiarity with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
  • Solid understanding of AI/ML concepts, including LLMs and prompt engineering
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and containerization (Docker, Kubernetes) and in solution architecture.
  • Ability to navigate ambiguocomplex challenges.
  • Experience applying AI/ML techniques to solve real-world problems.
  • Ability to interact with customers, understand their needs, and provide technical support.

The base pay range for this position is $95,000-140,000. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on July 27th, 2026.
GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.
GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a "Sponsor"). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual.
This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).
Additional Information
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.
Relocation Assistance Provided: No
#LI-Remote - This is a remote position

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