AI Engineer I

Universal Leaf Tobacco Company is hiring an AI Engineer I to design and develop scalable AI solutions that support business innovation and operational efficiency. The role contributes to the full lifecycle of AI systems, including prototyping, model training, performance testing, deployment, and collaboration with cross-functional teams.

Responsibilities

Design and develop scalable solutions using AI tools and machine learning models

Ensure the scalability, reliability, and performance of AI systems across diverse use cases

Develop and execute performance tests to evaluate system efficiency in handling large datasets, complex algorithms, and processing speeds

Perform research and testing to develop machine learning algorithms and predictive models

Utilize big data computation and storage tools to create prototypes and datasets

Conduct model training, evaluation, and tuning to optimize performance

Integrate, test, and monitor AI solutions in collaboration with cross-functional teams

Document technical workflows and contribute to knowledge sharing across the team

Stay current with emerging AI tools and technologies to support continuous improvement

Preferred

Exposure to MLOps tools and practices

Experience with RESTful APIs or microservices

Familiarity with containerization (Docker)

Experience working in Agile/Scrum environments

Experience with data visualization and version control (e.g., Power-BI, Git)

MLOps

RESTful APIs

Microservices

Docker

Agile/Scrum

Data Visualization

Power BI

Version Control

Git

Benefits

401(k) match

Pension

Merit increases

Paid holidays

Medical benefits

Dental benefits

Life insurance

Vision benefits

Short- and long-term disability benefits

Tuition assistance

Hybrid work arrangement (3 days in office, 2 days remote)

Company

Global leaf tobacco and plant-based ingredients supplier

Richmond, Virginia, USA

http://www.universalcorp.com/

Founded in 1918

1001-5000 employees

Qualifications

Candidates must be legally authorized to work in the United States

Universal Corporation is unable to provide visa sponsorship or transfer sponsorship for this position now or in the future

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field

Proficiency in programming languages such as .net, Python, or R

Internship or project experience in AI/ML (demonstrates hands-on exposure)

Basic understanding of statistics and data analysis

Experience with SQL or NoSQL databases

Ability to write clean, maintainable code and follow coding standards

Strong analytical and problem-solving skills

Effective communication and collaboration abilities

Exposure to MLOps tools and practices

Experience with RESTful APIs or microservices

Familiarity with containerization (Docker)

Experience working in Agile/Scrum environments

Experience with data visualization and version control (e.g., Power-BI, Git)

Required skills

Machine Learning, Python, .NET, R, SQL, NoSQL, Statistics, Data Analysis, MLOps, RESTful APIs, Microservices, Docker, Agile/Scrum, Power BI, Git

Preferred skills

Exposure to MLOps tools and practices, Experience with RESTful APIs or microservices, Familiarity with containerization (Docker), Experience working in Agile/Scrum environments

Experience

Entry level