Junior AI/ML Engineer — Hybrid & Growth Opportunities

RSM US LLP; Chicago (IL); Hybrid; USD 103,000 - 176,000; Full time

Benefits offered by this job

Mentorship from experienced pros

Training and development programs

Competitive salary and benefits

Hybrid work environment

Job summary

RSM US LLP is seeking an entry-level AI/ML Engineer to support development, testing, and deployment of AI and machine learning solutions. You will gain hands‑on experience with data and models while building foundational knowledge in AI engineering practices.

The role emphasizes collaboration with data scientists, engineers, and product teams, with a hybrid work style and opportunities to learn through mentorship and enterprise‑level projects.

Qualifications

• Bachelor's degree in computer science, data science, engineering, mathematics, or a related field (or equivalent practical experience).
• Azure AI Fundamentals or similar entry-level certification (preferred).

Responsibilities

• Assist in designing, developing, and testing machine learning models for tasks such as classification, regression, clustering, and recommendations.
• 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 the latest AI/ML research and contribute to team knowledge sharing.

Skills

Python

ML concepts

Data analysis

Independent work

Education

Bachelor's degree in computer science, data science, engineering, mathematics, or related field

Azure AI Fundamentals or similar entry-level certification

Tools

TensorFlow

PyTorch

scikit-learn

Job description

RSM US LLP is seeking an entry-level AI/ML Engineer to support development, testing, and deployment of AI and machine learning solutions. You will gain hands‑on experience with data and models while building foundational knowledge in AI engineering practices.

The role emphasizes collaboration with data scientists, engineers, and product teams, with a hybrid work style and opportunities to learn through mentorship and enterprise‑level projects.