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Salary
$70k – $84k per year
Location
In office (Atlanta)
Seniority
Junior · 1+ year exp
Employment
Full-Time
Overview
Company
Impact
Profile match
RSM US is an American accounting, tax and consulting firm whose predecessor was founded in 1926, and it is the largest firm serving the middle market, deliberately positioned below the big four. It provides audit and assurance, tax compliance and advisory, and a consulting practice covering technology, risk, security, transactions and management consulting, organised around industry specialisms rather than service lines alone. Headquartered in Chicago and part of the international RSM network, it converted from a partnership toward outside investment in 2024, a change that has been reshaping how large accounting firms are owned.

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.

Junior AI/ML Engineer

JOB SUMMARY

The Associate - Junior AI/ML 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 withdata 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).

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

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 [email protected].

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: $70,400 - $84,000

Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.

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