ZipRecruiter

Log In

1

Software Engineer Ai Model Training Jobs in Georgia

Honeywell

Sr Advanced AI Platform Engineer

Druid Hills, GA

$101K - $139K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience building pipelines to structure, clean, and store data for model training or real-time ...

Honeywell

Sr Advanced AI Platform Engineer

Marietta, GA

$100K - $138K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience building pipelines to structure, clean, and store data for model training or real-time ...

Honeywell

Sr Advanced AI Platform Engineer

Mableton, GA

$95K - $130K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience building pipelines to structure, clean, and store data for model training or real-time ...

Honeywell

Sr Advanced AI Platform Engineer

North Decatur, GA · On-site

$102K - $140K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience building pipelines to structure, clean, and store data for model training or real-time ...

Honeywell

Sr Advanced AI Platform Engineer

Decatur, GA · On-site

$102K - $140K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience building pipelines to structure, clean, and store data for model training or real-time ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience building pipelines to structure, clean, and store data for model training or real-time ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$101K - $138K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience building pipelines to structure, clean, and store data for model training or real-time ...

Honeywell

Sr Advanced AI Platform Engineer

Marietta, GA · On-site

$99K - $136K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience building pipelines to structure, clean, and store data for model training or real-time ...

Honeywell

Sr Advanced AI Platform Engineer

Austell, GA

$95K - $131K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience building pipelines to structure, clean, and store data for model training or real-time ...

Honeywell

Sr Advanced AI Platform Engineer

Dunwoody, GA

$103K - $142K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience building pipelines to structure, clean, and store data for model training or real-time ...

Honeywell

Sr Advanced AI Platform Engineer

Smyrna, GA · On-site

$102K - $140K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience building pipelines to structure, clean, and store data for model training or real-time ...

Honeywell

Sr Advanced AI Platform Engineer

Hapeville, GA

$100K - $137K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience building pipelines to structure, clean, and store data for model training or real-time ...

Honeywell

Sr Advanced AI Platform Engineer

East Point, GA · On-site

$100K - $138K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience building pipelines to structure, clean, and store data for model training or real-time ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

The AI Model Validation Lead will ensure the accuracy, robustness, and ethical compliance of AI models, working closely with data scientists and engineers to validate models and recommend ...

Acuity Brands

Senior Software Engineer - AI/ML

Conyers, GA · On-site +1

$97K - $128K/yr

This role will technically lead a high impact AI engineering team and play a defining role in how AI-driven software is built across a growing and ambitious organization. The Software Engineer Senior ...

previous page

Showing results 41-60

All JobsSoftware Engineer Ai Model Training JobsSoftware Engineer Ai Model Training Jobs in Georgia

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.

Sr Advanced AI Platform Engineer

Honeywell

Lithia Springs, GA

$96K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

66th of 537 rated manufacturers

Job description

Job Description
We are seeking a Full Stack AI Platform Engineer to join our Data Engineering, AI & ML Platform team. This role is central to designing, building, and scaling the enterprise AI/ML platform that powers intelligent automation across a global portfolio.
As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM orchestration and RAG services, to the React-based interfaces that surface autonomous insights to plant engineers, facility managers, and OT security analysts.
You will work at the intersection of data engineering, machine learning operations, and edge AI - building production-grade infrastructure that processes billions of IoT events from building management systems, deploys models to edge devices, and enables AI-driven applications including predictive diagnostics, energy monitoring, and RAG-based knowledge systems.
This is a high-impact individual contributor role for someone who thrives in ambiguity, ships production systems, and can operate across the full stack from cloud-native platforms to edge GPU hardware. You will report to our Sr Data Engineering Manager and work from our Atlanta, GA location on a hybrid basis.
  • Note: for the first 90 days, new hires must be prepared to work onsite 100% M-F.

KEY RESPONSIBILITIES
AI/ML Platform Engineering
  • Develop high-performance, production-ready Python APIs using FastAPI to serve as the primary interface for on-device model inference
  • Design, build, and maintain enterprise AI/ML platform services on multi-cloud infrastructure including model deployment, serving and experiment tracking.
  • Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API services to edge devices.
  • Implement ML orchestration workflows using LangGraph, MLflow, and custom orchestration layers for multi-agent AI systems.
  • Develop and integrate AI workloads using ML-Ops and tracing tools like LangSmith.
  • Design and implement automated data processing pipelines within FastAPI to handle real-time sensor or image inputs for the model.
  • Bridge the gap between research and deployment by converting code from experimental into modular, maintainable Python packages.

Edge AI & Inference
  • Ability to integrate and run pre-built AI models on local hardware using standard industry runtimes.
  • Skilled at building the software logic required to process data inputs and handle model outputs efficiently.
  • Expert at developing Python-based services and automating their deployment to devices via standardized pipelines.
  • Capable of monitoring and optimizing software to run reliably within strict memory and hardware limitations.
  • Experience deploying containerized models from Azure to edge devices using Azure IoT Edge or managed online endpoints

Data & Knowledge Engineering
  • Experience building pipelines to structure, clean, and store data for model training or real-time retrieval (RAG) on edge devices
  • Ability to convert experimental data processing logic from notebooks into production-ready Python modules.
  • Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is available for continuous model improvement.

Production Operations & Reliability
  • Own platform reliability for AI services serving multiple business units.
  • Implement observability, monitoring, and alerting for ML pipelines and inference services.
  • Drive cost optimization across data platform workloads, cloud compute, and storage infrastructure.
  • Proficient in using Azure Machine Learning Studio to manage the full lifecycle of models, including registration, versioning, and monitoring.

Qualifications
YOU MUST HAVE
  • 8 plus years of experience in software engineering, data engineering, or ML platform engineering.
  • Strong proficiency in Python and at least one systems language (Python, Go, Rust, C++).
  • Deep hands-on experience with cloud-native data platforms (Databricks, BigQuery, Azure Data Lake, Kubernetes).
  • Production experience building and deploying ML/AI pipelines including model serving, feature engineering, and experiment tracking.
  • Experience with LLM application frameworks such as LangChain, LangGraph, and Langsmith or equivalent agentic AI orchestration tools.
  • Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms.
  • Experience with knowledge graphs, ontology engineering, or semantic web technologies.

WE VALUE
  • Bachelor's / Advanced degree in Computer Science, Artificial Intelligence, or related field.
  • Background in building management systems, HVAC, energy management, or industrial IoT domains.
  • Strong leadership and management skills.
  • Experience working in an agile development environment.
  • Proven ability to drive successful cloud development projects and initiatives.
  • Ability to work in a fast-paced and dynamic environment.
  • Attention to detail and excellent problem-solving capability.

US PERSON REQUIREMENT
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization.
ABOUT HONEYWELL
Honeywell International Inc. (NYSE: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more here: https://www.honeywell.com/us/en
BENEFITS OF WORKING FOR HONEYWELL
In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information: https://benefits.honeywell.com/
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 5/21/2026
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

What Honeywell employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Honeywell logo

About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906

View All Honeywell Jobs