"We're not in the shipping business; we're in the information business" -Peter Rose, Expeditors Founder

Global supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics.

15,000 trained professionals

250+ locations worldwide

Fortune 500

Globally unified systems

We are looking for a highly skilled and motivated?Data Scientist (level III or Senior)?with experience in?ML engineering, MLOps, and exposure to?AI/GenAI?to join our team. You will work closely with senior data scientists and engineers to build and maintain scalable ML pipelines and contribute to the integration of GenAI capabilities into our analytics solutions. This role supports the Americas geography under the IS organization and contributes to projects that enhance operations across 70+ offices.

Successful candidates must understand or be able to:

Develop and maintain ML models and MLOps pipelines.

Stay updated with trends in MLOps and GenAI.

Communicate technical insights to cross-functional teams.

Break down complex problems and propose data-driven solutions.

Major Duties and Responsibilities?

Build and maintain MLOps pipelines for model training, deployment, and monitoring.

Support integration of GenAI models into analytics workflows.

Automate data ingestion and feature engineering processes.

Implement CI/CD and containerized deployments.

Monitor model performance and support retraining strategies.

Collaborate with data scientists and engineers to deliver solutions.

Ensure data quality and consistency.

Document processes and contribute to team knowledge base.

?Minimum

Bachelor's (5+ yrs. experience) or Master's (3+ yrs. experience) in Computer Science, Data Science, Engineering, or related field.

Experience in MLOps or ML engineering roles.

Proficiency in Python, SQL, and version control systems.

Exposure to GenAI tools and concepts.

Desired

Familiarity with ML frameworks (e.g., Scikit-learn, TensorFlow).

Experience with cloud ML services and containerization.

Understanding of GenAI APIs and prompt engineering.

Experience with IaC tools and real-time model deployment.

The annual salary for this position is between $120,000 to $150,000.

The position is onsite in the office. Please ensure that if you apply you would be able to commute to the office.

This position must be based out of one of our offices located in:

Ellenwood (Atlanta) GA, Detroit MI, Edison (Nework) NJ, Torrance (Los Angeles) CA, Irving (Dallas)TX

Expeditors also offers 26 remote days per year that can be used as needed. The entire team is based onsite and works closely with each other which help foster employee growth and job satisfaction.

Position is full time (40 hours per week) Monday through Friday (in office). We are an office business attire company.

Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.

Expeditors offers excellent benefits

Paid Vacation, Holiday, Sick Time

Health Plan: Medical, Prescription Drug, Dental and Vision

Life and Long Term Disability Insurance

401(k) Retirement Savings Plan (US only)

Employee Stock Purchase Plan

Training and Personnel Development Program

All your information will be kept confidential according to EEO guidelines.

For internal applicants, should you be interested in applying for this position, please discuss this opportunity with your supervisor.