> Markdown version of [/jobs/ext/2626782-sr-artificial-intelligence-machine-learning-developer](https://www.wearedevelopers.com/jobs/ext/2626782-sr-artificial-intelligence-machine-learning-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Sr. Artificial Intelligence & Machine Learning Developer

- **Company:** Joseph T. Ryerson & Son, Inc.
- **Location:** Downers Grove, IL, United States
- **Experience:** Expert
- **Salary:** $131,129.0 - $196,694.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Code Review, Computer Engineering, Python (Programming Language), Machine Learning, Azure Machine Learning, Search Technologies, SQL Databases, Prompt Engineering, Generative AI, Kubernetes, Information Technology, HuggingFace, Integration Frameworks, Machine Learning Operations, Software Version Control, Api Management, Serverless Computing, Databricks
- **Published:** August 15, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88044105/1

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a related field
 * 4 plus years of experience developing, deploying, and supporting AI/ML applications
 * Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, and generative AI solutions
 * Experience building and deploying AI/ML models, agents, and algorithms
 * Strong knowledge of MLOps practices, including model versioning, automation, and monitoring
 * Experience with tools such as Python, SQL, Kubernetes, Databricks, and HuggingFace
 * Knowledge of Copilot Studio, Azure Functions, API integrations, prompt engineering, and agent lifecycle management
 * Strong organization, communication, and project management skills

## Description

As a Sr. Artificial Intelligence & Machine Learning Developer at Ryerson, you will lead the design, development, and support of AI and machine learning solutions that help improve business processes and decision-making. This role will own key AI/ML platforms, tools, and integrations while helping expand the use of automation, agents, and predictive models across the organization. You will work with business stakeholders to build scalable, secure, and practical AI solutions that deliver measurable value. This position follows a hybrid work schedule, with employees expected to work from the office Tuesday through Thursday each week.
Roles and Responsibilities

 * Own the full lifecycle of Ryerson's AI and machine learning systems, from design through production support
 * Build and maintain AI/ML infrastructure, products, models, and agents across business functions
 * Serve as the primary developer for AI/ML tools, including Azure Machine Learning, Azure OpenAI, Azure AI Search, Python, SQL, Databricks, and related Azure services
 * Support agent development environments such as Copilot Studio, Agentforce, Joule AI, Azure AI Foundry, and related integration tools
 * Monitor changes in AI/ML technology and recommend tools or capabilities that support business needs
 * Create reports and dashboards to track AI/ML performance, accuracy, usage, and adoption
 * Document systems, models, decisions, and processes for technical and business users
 * Partner with stakeholders to define model goals, success measures, timelines, and delivery plans
 * Support continuous improvement through code reviews, testing, deployment practices, and solution enhancements
 * All other duties as assigned or duties, responsibilities, and activities may change at any time with or without notice


## Related Videos

- [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application)
- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure)
- [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing)
- [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads)

## Related Articles

- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)