Sr. Artificial Intelligence & Machine Learning Developer

NLP PEOPLE; Downers Grove (IL); Hybrid; USD 131,000 - 197,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401K with employer-matching

Paid vacation, sick, and holidays

Job summary

Ryerson is seeking a Sr. Artificial Intelligence & Machine Learning Developer to lead design, development, and support of AI/ML solutions across the organization.

You will own AI/ML platforms, tools, and integrations while expanding automation, agents, and predictive models. The role requires a Bachelor’s degree in a related field and 4+ years of hands-on Azure OpenAI, Azure ML, and AI/ML delivery experience.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or related field.
• 4+ 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 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.

Responsibilities

• Own the full lifecycle of Ryerson’s AI/ML 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 services and Databricks.
• Support agent development environments such as Copilot Studio and related tools.
• Monitor changes in AI/ML technology and recommend tools or capabilities for 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 enhancements.

Skills

AI/ML development

MLOps

Prompt engineering

Project management

Communication

Education

Bachelor’s degree in CS/CE/Data Science or related field

Tools

Azure OpenAI

Azure Machine Learning

Azure AI Search

Databricks

Kubernetes

Python

SQL

HuggingFace

Copilot Studio

Azure Functions

Job description

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 supportBuild and maintain AI/ML infrastructure, products, models, and agents across business functionsServe as the primary developer for AI/ML tools, including Azure Machine Learning, Azure OpenAI, Azure AI Search, Python, SQL, Databricks, and related Azure servicesSupport agent development environments such as Copilot Studio, Agentforce, Joule AI, Azure AI Foundry, and related integration toolsMonitor changes in AI/ML technology and recommend tools or capabilities that support business needsCreate reports and dashboards to track AI/ML performance, accuracy, usage, and adoptionDocument systems, models, decisions, and processes for technical and business usersPartner with stakeholders to define model goals, success measures, timelines, and delivery plansSupport continuous improvement through code reviews, testing, deployment practices, and solution enhancementsAll 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 field4 plus years of experience developing, deploying, and supporting AI/ML applicationsHands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, and generative AI solutionsExperience building and deploying AI/ML models, agents, and algorithmsStrong knowledge of MLOps practices, including model versioning, automation, and monitoringExperience with tools such as Python, SQL, Kubernetes, Databricks, and HuggingFaceKnowledge of Copilot Studio, Azure Functions, API integrations, prompt engineering, and agent lifecycle managementStrong organization, communication, and project management skills

Senior (5+ years of experience)

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

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.