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Contract Azure Iot Developer Jobs in Decatur, GA

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$101K - $138K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$100K - $138K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

Marietta, GA · On-site

$99K - $136K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

Austell, GA · On-site

$95K - $131K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

Decatur, GA · On-site

$99K - $136K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

Druid Hills, GA · On-site

$101K - $139K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

Marietta, GA · On-site

$100K - $138K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

Lithia Springs, GA · On-site

$96K - $132K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

Smyrna, GA · On-site

$102K - $140K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

Hapeville, GA · On-site

$100K - $137K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

Avondale Estates, GA · On-site

$102K - $140K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

North Atlanta, GA · On-site

$102K - $141K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

East Point, GA · On-site

$100K - $138K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

North Decatur, GA · On-site

$102K - $140K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

Decatur, GA · On-site

$102K - $140K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

Mableton, GA · On-site

$95K - $130K/yr

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 ...

New

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

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 ...

Apex Systems

Azure Integration Developer

Norcross, GA · On-site

$52 - $64.50/hr

Azure Integration Developer Length: 12-month contract initially likely extensions Location: 100% remote Role Overview We are seeking an Azure Integration Developer to design, build, and maintain ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$117K - $155K/yr

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 ...

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All JobsContract Azure Iot Developer JobsContract Azure Iot Developer Jobs in Decatur, GA

Contract Azure Iot Developer information

See Decatur, GA salary details

$10

$57

$77

How much do contract azure iot developer jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for contract azure iot developer in Decatur, GA is $57.02, according to ZipRecruiter salary data. Most workers in this role earn between $51.63 and $64.09 per hour, depending on experience, location, and employer.

What are some common challenges faced by contract Azure IoT Developers when integrating IoT devices with cloud services?

Contract Azure IoT Developers often encounter challenges such as ensuring secure device-to-cloud communication, managing device provisioning at scale, and integrating diverse IoT devices with Azure services. They must also stay updated on Azure's evolving IoT suite and best practices for optimizing performance and cost. Effective collaboration with cross-functional teams, including hardware engineers and cloud architects, is essential to deliver robust solutions within project timelines.

What are the key skills and qualifications needed to thrive as a Contract Azure IoT Developer, and why are they important?

To thrive as a Contract Azure IoT Developer, you need strong proficiency in IoT architecture, Azure cloud services, and programming languages such as C#, Python, or JavaScript, often backed by a degree in computer science or related field. Familiarity with Azure IoT Hub, Device Provisioning Service, and relevant Microsoft certifications like Azure IoT Developer Specialty are typically required. Excellent problem-solving, communication, and project management skills help in delivering scalable IoT solutions and collaborating with cross-functional teams. These skills ensure the successful design, deployment, and management of secure and efficient IoT systems in dynamic client environments.

What are Contract Azure IoT Developers?

Contract Azure IoT Developers are professionals hired on a temporary or project basis to design, develop, and maintain Internet of Things (IoT) solutions using Microsoft Azure services. They integrate hardware devices with Azure cloud platforms, enabling data collection, processing, and visualization. These developers are skilled in Azure IoT Hub, device provisioning, security, and application integration, and often work with clients to deliver scalable and secure IoT solutions tailored to specific business needs.

What is the difference between Contract Azure Iot Developer vs Contract Cloud Software Engineer?

AspectContract Azure Iot DeveloperContract Cloud Software Engineer
Required CredentialsAzure certifications, IoT platform knowledgeCloud certifications (AWS, Azure), software development skills
Work EnvironmentIoT device integration, sensor data managementCloud infrastructure, application deployment
Industry UsageManufacturing, smart devices, IoT solutionsVarious industries including tech, finance, healthcare

Contract Azure Iot Developers focus on integrating IoT devices with Azure cloud services, requiring specific IoT and Azure skills. In contrast, Contract Cloud Software Engineers work on broader cloud-based applications across multiple platforms. While both roles involve cloud expertise, the IoT Developer specializes in IoT solutions within Azure, making their work more device and sensor-oriented.

What cities near Decatur, GA are hiring for Contract Azure Iot Developer jobs? Cities near Decatur, GA with the most Contract Azure Iot Developer job openings:
Contract Azure Iot Developer jobs near you
Sr Advanced AI Platform Engineer

Sr Advanced AI Platform Engineer

Honeywell

Atlanta, GA • On-site

$101K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 183 frontline employees who took The Breakroom Quiz

65th of 528 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.

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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

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