AI Machine Learning Engineer

RSM US LLP

Chicago (IL)

Hybrid

USD 103,000 - 176,000

Full time

4 days ago
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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

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., TensorFlow, 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 https://rsmus.com/careers/working-at-rsm/benefits.

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 (including family and medical leave), domestic violence victim status, past, current or prospective service in the US uniformed service, US military/veteran status, pre‑disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership.

RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities.

If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800‑274‑3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F‑1 visa holders).

If you are a recent U.S. college / university graduate possessing 1–2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records.

For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role.

The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $102,800 - $176,000 Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.

Why work at RSM?

At RSM, we accomplish meaningful work and make an impact on the world around us. We work hard to fully understand our clients and work even harder to understand and identify your unique skills. We celebrate the differences among us and empower our talented professionals to grow forward, both personally and professionally. Our clients benefit from fresh insights and energy as we collaborate to support them, and our teams enjoy a work environment that inspires and empowers them to thrive.

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