Ryerson Holding

Senior Artificial Intelligence & Machine Learning Developer

Downers Grove, IL, US, 60515

Live, first seen by us 82 days ago

Pay: Multiple pay statements — pay source
Strong organization, communication, and project management skills Salary: $131,129 - $196,694 annually plus bonus. A starting salary higher than $131,694 annually is based on a level of experience and education that significantly exceeds the minimum requirements and is commensurate with the compensation scale. Ryerson offers eligible employees the following benefits:
Read the full posting
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Own AI/ML systems from design through production support
Build and maintain AI/ML infrastructure, products, models, and agents
Act as primary developer for Azure AI/ML tools and Databricks
Build dashboards tracking AI/ML performance, accuracy, and adoption
Define model goals, success measures, and delivery plans with stakeholders

From the employer’s posting

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

Create reports and dashboards to track AI/ML performance, accuracy, usage, and adoption

Partner with stakeholders to define model goals, success measures, timelines, and delivery plans

What you’ll bring

All qualifications

Core experience

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

Qualification wording

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

Education & alternatives

Requirements - 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

Apply at Ryerson Holding

Posting record

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Status in our records: Live
First seen by us: Aug 14, 202682 days ago
Recorded sightings: 313
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 82

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,381 similar postings that came down. Coming down is not always a hire.

Ryerson Holding is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Azure
Databricks
Kubernetes
Hugging Face

Where the posting names them

- 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

- 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

- 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

- 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

- 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

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Summary

Welcome to Ryerson, where exceptional career opportunities await. As a leading provider of industrial and OEM metal products and services since 1842, we are committed to excellence and best-in-class customer service. Join our team and be a part of a legacy of excellence, where your contributions will be valued, and your development supported. Ryerson offers a dynamic, quality-focused, environment, ideal for advancing your career and making your mark in the metals industry.

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

Requirements

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

Salary: $131,129 - $196,694 annually plus bonus. A starting salary higher than $131,694 annually is based on a level of experience and education that significantly exceeds the minimum requirements and is commensurate with the compensation scale.

Ryerson offers eligible employees the following benefits:

Medical, dental, and vision insurance programs
401K plans with employer-matching contributions
Paid vacation, sick, and holidays

#LI-GC1

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex (including gender identity, sexual orientation or preference, and pregnancy), age, national origin, religion, disability or genetic information, marital status, status as a veteran, or any other federal, state or local protected class or artificial barrier.

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