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Software Engineer Ai Model Training Jobs in Georgia

Honeywell

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

... AI model training and inference DataOps: * Implement DataOps practices to ensure continuous ... We are a leading software-industrial company committed to introducing state-of-the-art technology ...

Honeywell

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

... AI model training and inference DataOps: * Implement DataOps practices to ensure continuous ... We are a leading software-industrial company committed to introducing state-of-the-art technology ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... AI model training and inference DataOps: * Implement DataOps practices to ensure continuous ... We are a leading software-industrial company committed to introducing state-of-the-art technology ...

Honeywell

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

... AI model training and inference DataOps: * Implement DataOps practices to ensure continuous ... We are a leading software-industrial company committed to introducing state-of-the-art technology ...

Omnissa

Software Engineer, AI/ML

Atlanta, GA · On-site

$102K - $160K/yr

As a Software Engineer, you will join our Globalization Engineering team, building the AI-driven ... You will design and scale backend systems, integrate large language model (LLM) capabilities, and ...

Omnissa

Software Engineer, AI/ML

Atlanta, GA · On-site +1

$102K - $160K/yr

As a Software Engineer, you will join our Globalization Engineering team, building the AI-driven ... You will design and scale backend systems, integrate large language model (LLM) capabilities, and ...

OVA.Work

AI/ML engineer

Atlanta, GA · On-site

$110K - $132K/yr

Work is seeking a talented AI/ML Engineer to design, develop, and deploy machine learning and ... model training • Collaborate with data scientists, software engineers, and product teams • ...

SmartIPlace

Lead AI Engineer or Architect[Hybrid]

Atlanta, GA · On-site

$53.25 - $72.75/hr

Pipelines Automation (Data Pipelines, AI / Model Training Pipelines, Deploying Application, Models Automation through, CICD, IaC (Vertex AI, Azure, IBM watsonX) * Provide templates for application ...

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Software Engineer Ai Model Training information

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 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 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 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 Georgia? For Software Engineer Ai Model Training jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Software Engineer Ai Model Training jobs in Georgia look for? The top searched job categories for Software Engineer Ai Model Training jobs in Georgia are:
What cities in Georgia are hiring for Software Engineer Ai Model Training jobs? Cities in Georgia 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 Georgia as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

REQ :: Lead AI Engineer or Architect

SmartIPlace

Atlanta, GA • On-site

$70 - $80/hr

Contractor

Re-posted yesterday

Job description

Job Description: Lead Software Development Engineer - (Acting as an AI Platform Engineer)

 

We are looking for a strategic and hands-on Lead AI Engineer to own and scale our enterprise AI platform capabilities. This role will serve as the primary owner of the IBM watsonx platform and Google Cloud Vertex AI platform, while providing support to Azure driving adoption, standardization, automation, and governance across the organization. The role also includes leading a team responsible for day-to-day AI model and application onboarding, pipeline automation, DevSecOps integration, BI tooling, and AI governance—including maintenance of IBM watsonx.governance and vertex AI. 

This is a high-impact position suited for a technically strong leader who can lead technical team, architect solutions, scale platforms, and align multiple teams across engineering, data science, and business domains.

Mandatory Skills:

•Lead the team • Platform • Pipelines Automation (Data Pipelines, AI / Model Training Pipelines, Deploying Application, Models Automation through, CICD, IaC (Vertex AI, Azure, IBM watsonX) • Provide templates for application automation • Agentic AI pipelines • Governance

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About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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