Entry-Level AI/ML Engineer – Hybrid & Mentorship

RSM US LLP; Dallas (TX); Hybrid; USD 103,000 - 176,000; Full time

Benefits offered by this job

Mentorship

Professional development

Hybrid work environment

Job summary

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

Collaborate with data scientists, engineers, and product teams, document results, and stay current with AI/ML research. This role offers mentoring, exposure to enterprise projects, and a hybrid work model

Qualifications

• Bachelor's degree in CS/Math/Engineering or equivalent.
• Familiarity with Python and ML frameworks.
• Understanding of data manipulation and visualization.
• Knowledge of MLOps concepts and tools.
• Foundational NLP/vision knowledge is a plus.

Responsibilities

• Assist in designing, developing, and testing ML models for tasks like classification, regression, clustering, and recommendations.
• Support preprocessing and basic analysis of datasets using standard data tools.
• Collaborate with data scientists, engineers, and product teams to 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 frameworks

Data visualization

ML concepts

Education

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

Azure AI Fundamentals or similar entry-level certification

Tools

Version control

Containerization

Model monitoring

Job description

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

Collaborate with data scientists, engineers, and product teams, document results, and stay current with AI/ML research. This role offers mentoring, exposure to enterprise projects, and a hybrid work model