AI Machine Learning Engineer

RSM • Chicago, IL

15h • Hybrid

About The Position

The AI Machine Learning Engineer supports the development, testing, and deployment of AI and machine learning solutions that enhance business capabilities. This entry-level role provides hands-on experience working with data and models while building foundational knowledge in AI engineering practices. The role works with data scientists, engineers, and product teams to help integrate models into production systems and contributes to experiments, model evaluations, and team knowledge sharing. RSM describes most roles as following a hybrid workstyle, with team members aligned to an RSM office and meeting in person when it best supports clients, teams, development, or relationship-building. Some roles may be virtual or primarily on-site based on role requirements, team priorities, and client needs.

Requirements

• 1–2 years of experience in machine learning, data science, or software development; internships or academic projects are acceptable.
• Familiarity with Python and major machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Basic knowledge of data manipulation and visualization tools.
• Broad understanding of machine learning principles and algorithms.
• Awareness of MLOps practices and tools, such as version control, containerization, or model monitoring.
• Foundational understanding of deep learning, natural language processing, or computer vision concepts.
• Ability to work independently with guidance and take initiative on assigned tasks.
• Strong analytical and problem-solving skills, with eagerness to learn and grow.
• Ability to clearly document and communicate findings.
• Bachelor’s degree in computer science, data science, engineering, mathematics, or a related field, or equivalent practical experience.

Nice To Haves

• Azure AI Fundamentals or a similar entry-level certification.

Responsibilities

• Assist in designing, developing, and testing machine learning models for classification, regression, clustering, and recommendation tasks.
• Support preprocessing and basic analysis of datasets using standard data tools.
• Work with data scientists, engineers, and product teams to help integrate models into production systems.
• Assist with experiments and model evaluations, documenting results for senior team members.
• Stay up to date with AI/ML research and contribute to team knowledge sharing.

Benefits

• Competitive salary and benefits package.
• Mentorship from experienced professionals and exposure to enterprise-level projects.
• Access to training and professional development programs.
• Discretionary bonus based on firm and individual performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level