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Software Engineer Ai Model Training Jobs in Ohio

JP Morgan Chase

Lead Software Engineer-AI

Columbus, OH · On-site

... 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

... 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

$109K - $132K/yr

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

... 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.

J.P. Morgan

Lead Software Engineer-AI

Columbus, OH · On-site

... 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.

J.P. Morgan

Lead Software Engineer -AI

Columbus, OH · On-site

... 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.

John Deere

Software Engineer - AI Solutions Poznań, Poland Your responsibilities: * Works closely and ... Prompt engineering, API-based model usage, Retrieval-augmented generation (RAG) basics.

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Software Engineer Ai Model Training information

What are some common challenges faced by Software Engineers specializing in 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 are the key skills and qualifications needed to thrive as a Software Engineer in AI Model Training, and why are they important?

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 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.

What does a Software Engineer in 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 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.
Software engineer AI/ML & DevOps- Columbus, OH / Naveen

Software engineer AI/ML & DevOps- Columbus, OH / Naveen

Ampcus Inc

Columbus, OH • On-site

$49.25 - $67.50/hr

Other

Posted 7 days ago

Job description

Title : Software engineer AI/ML & DevOps

W2 Only

Location: Columbus, OH 43240

Onsite

Type: Contract to hire

education: bachelor degree

MUST have skills:

  • AI/ML
  • Python
  • GitOps
  • Kubernetes
  • Python - ops tooling
  • AWS - ECR ECS, EKS
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Design and develop a scalable ML platform to support model training, deployment, and monitoring
  • Build and maintain infrastructure for automated ML pipelines, ensuring reliability and reproducibility supporting different model frameworks and architectures
  • Set up monitoring and reliability for both infrastructure and models utilizing Prometheus and Grafana
  • Code infrastructure with Terraform and utilizing Python for automation
  • Perform DevOps in Kubernetes (K8s), Docker, Helm, GitOps, and CI/CD pipelines (Jenkins, GitLab CI)
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About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004

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