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AI Machine Learning Engineer

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: RSM US LLP
Full Time position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 102800 - 176000 USD Yearly USD 102800.00 176000.00 YEAR
Job Description & How to Apply Below

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally.

There’s no one like you and that’s why there’s nowhere like RSM. 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.

ESSENTIAL DUTIES
  • 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.
SUCCESSFUL CHARACTERISTICS / SKILLS Experience & Background
  • 1–2 years of experience in machine learning, data science, or software development (internship or academic projects acceptable).
Core Technical Proficiency
  • Familiarity with Python and major ML frameworks (e.g., Tensor Flow, PyTorch, scikit‑learn).
  • Basic knowledge of data manipulation and visualization tools.
  • Broad understanding of machine learning principles and algorithms.
MLOps & Deployment
  • Awareness of MLOps practices and tools, such as version control, containerization, or model monitoring.
Advanced Methods
  • Foundational understanding of deep learning, natural language processing (NLP), or computer vision concepts.
Professional Traits
  • 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.
EDUCATION/CERTIFICATION REQUIREMENTS

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).

WHAT RSM OFFERS
  • Opportunities to develop AI/ML engineering skills in a collaborative environment.
  • Mentorship from experienced professionals and exposure to enterprise‑level projects.
  • Access to training and professional development programs.
  • Competitive salary and benefits package.
  • At RSM, we offer a competitive benefits and compensation package for all our people.

Learn more about our total rewards at

We believe flexibility and in‑person connection both play an important role in how we work and grow.

Most roles at RSM follow a hybrid workstyle, which means team members are aligned to an RSM office and come together 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.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race, color, creed, sincerely held religious beliefs, practices or observances, sex (including pregnancy or disabilities related to nursing), gender, sexual orientation, HIV status, national origin, ancestry, familial or marital status, age, physical or mental disability, citizenship, political affiliation, medical condition…

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