AI Engineer II: Build Scalable ML Solutions & Mentor

Universal Leaf Tobacco Company; Richmond (VA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

401(k) match

Pension

Paid holidays

Medical benefits

Dental benefits

Vision benefits

Life benefits

Short- and long-term disability benefits

Tuition assistance

Job summary

A leading tobacco supplier company is seeking an experienced AI Engineer II to lead the development of advanced AI models and systems that tackle complex business problems. This role requires strong expertise in machine learning, big data, and cloud technologies, along with the ability to mentor junior engineers. Candidates should have a Bachelor’s degree in a relevant field and 3-5 years of experience in AI/ML engineering.

Qualifications

• 3–5 years of experience in AI/ML engineering with proven success in deploying scalable solutions.
• Strong understanding of model lifecycle, MLOps, and performance optimization.
• Ability to write clean, maintainable code and follow coding standards.

Responsibilities

• Architect and implement scalable AI systems using advanced machine learning techniques.
• Lead model development, training, evaluation, and deployment for production environments.
• Optimize system performance through rigorous testing, tuning, and monitoring.
• Collaborate with stakeholders to align AI solutions with business goals.

Skills

Machine Learning

Big Data

.NET

Python

R

SQL

NoSQL

Data Governance

Analytical Skills

Leadership

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Science

Bachelor’s degree in Engineering

Tools

Cloud Platforms

MLOps Tools

Docker

Power BI

Job description

A leading tobacco supplier company is seeking an experienced AI Engineer II to lead the development of advanced AI models and systems that tackle complex business problems. This role requires strong expertise in machine learning, big data, and cloud technologies, along with the ability to mentor junior engineers. Candidates should have a Bachelor’s degree in a relevant field and 3-5 years of experience in AI/ML engineering.