Entry-Level AI/ML Engineer - Hybrid Work & Growth

RSM US LLP; Denver (CO); Hybrid; USD 103,000 - 176,000; Full time

Benefits offered by this job

Training programs

Mentorship from experienced pros

Career development opportunities

Job summary

RSM US LLP is seeking an entry-level AI Machine Learning Engineer to support the development, testing, and deployment of AI/ML solutions that enhance business capabilities. This role offers hands-on experience with data and models while building foundational knowledge in AI engineering practices.

Responsibilities include designing, testing, and evaluating ML models, preprocessing data, and collaborating with cross-functional teams to deploy models in production.

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 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 concepts

Analytical skills

Documentation

Education

Bachelor's degree in CS/DS/engineering

Azure AI Fundamentals

Tools

TensorFlow

PyTorch

scikit-learn

Version control

Containerization

Job description

RSM US LLP is seeking an entry-level AI Machine Learning Engineer to support the development, testing, and deployment of AI/ML solutions that enhance business capabilities. This role offers hands-on experience with data and models while building foundational knowledge in AI engineering practices.

Responsibilities include designing, testing, and evaluating ML models, preprocessing data, and collaborating with cross-functional teams to deploy models in production.