Artificial Intelligence/Machine Learning Engineer 2 - Intern

Role Overview

The AI Development team undertakes rapid development initiatives using AI/ML tools and platforms to drive business innovation. This role will evaluate emerging AI trends, run proof-of-concepts, and build applications and models tailored to specific use cases. The position involves creating scalable AI pipelines and collaborating with data, engineering, and software development teams.

Key Responsibilities

• Evaluate emerging AI trends, tools, and vendor solutions against business use-cases.
• Run proof-of-concepts (PoCs) to test the feasibility of new ideas.
• Design and build applications and AI/ML models for use cases such as predictive analytics, natural language processing, and computer vision.
• Create scalable AI pipelines that can be integrated into existing systems.
• Collaborate with data, engineering, and software development teams.

Required Qualifications

Candidates should possess knowledge and skills through coursework with some hands-on work experience in the following areas:

• Python and SQL skills.
• Data Visualization skills with tools like PowerBI, Tableau, Streamlit, R Shiny, or Matplotlib.
• Knowledge of Object-oriented programming and design patterns.
• Experience with unit testing, CI/CD, Git, and containerization (Docker).
• Familiarity with data pipelines and ETL (Airflow, Prefect, or cloud-native equivalents).
• Understanding of model deployment (REST APIs, gRPC, serverless), monitoring, and versioning.
• Knowledge of AWS, Azure, GCP, or OCI AI services.
• Experience with cloud-native training/inference environments (SageMaker, Bedrock, Vertex AI, Azure ML).
• Familiarity with Kubernetes and Docker.
• Experience with code assist tools (Claude code, Codex, Cursor, etc.).

Preferred Qualifications

• Experience or class studies related to transportation and traffic analysis.