Internship - Artificial Intelligence at APM Terminals · Los…

Summary: APM Terminals is seeking an AI & Machine Intelligence Intern to support the Operations Intelligence and Optimization team. The intern will assist in developing and implementing artificial intelligence initiatives focused on computer vision, equipment performance analytics, and predictive maintenance within an automated terminal environment. Responsibilities: - Assist in designing, developing, and testing machine learning models focused on: - Computer vision applications for automated equipment monitoring - Equipment health monitoring and predictive maintenance - Operational performance classification and anomaly detection - Support model training, validation, and evaluation using structured and unstructured operational data - Assist with data labeling, preprocessing, and feature engineering for machine learning workflows - Contribute to experimentation and prototyping of AI-based proof-of-concept solutions - Support ingestion and preparation of video, image, and sensor datasets from automated terminal equipment - Assist in developing pipelines for processing machine-generated data from PLC, MQTT, and other industrial data sources - Participate in building and testing computer vision solutions utilizing modern frameworks (e.g., OpenCV, PyTorch, TensorFlow, or similar) - Support development of visual analytics and monitoring dashboards showcasing AI insights - Assist in building visualizations and performance reporting tools using business intelligence platforms (PowerBI) - Assist in developing data pipelines and workflows supporting AI and analytics initiatives - Support database queries, data transformation, and exploratory data analysis using SQL and Python - Help document data sources, data models, and AI experimentation results - Work alongside optimization, automation, data, and operational teams to understand business use cases and equipment behavior - Participate in brainstorming and research initiatives for emerging AI technologies applicable to terminal operations - Present project updates, findings, and recommendations to technical and operational stakeholders - Support knowledge sharing and documentation for AI initiative scalability Required Qualifications: - Currently pursuing a Bachelor's or Master's degree in: Computer Science, Data Science, Artificial Intelligence, Robotics, Electrical Engineering, Industrial Engineering, or a related technical field - Experience with Python and common data science libraries (NumPy, Pandas, Scikit-learn, etc.) - Familiarity with machine learning and/or deep learning frameworks (PyTorch, TensorFlow, or similar) - Exposure to computer vision concepts or tools (OpenCV, image classification, object detection, etc.) - Basic SQL and data analysis experience - Familiarity with Git or version control practices - Experience working with APIs and data ingestion workflows - Exposure to cloud platforms (Fabric preferred), containerization, or deployment workflows is a plus - Strong analytical and problem-solving skills - Demonstrated curiosity and willingness to learn new technologies - Ability to communicate technical findings clearly - Strong organizational and documentation skills - Ability to work collaboratively within cross-functional teams - Self-driven with strong attention to detail Preferred Qualifications: - Coursework or project experience in AI, machine learning, or computer vision - Experience working with time-series or sensor data - Familiarity with industrial automation, robotics, or IoT data environments is a plus - Interest in logistics, transportation, or automated equipment systems Required Skills: Python, Machine Learning, Computer Vision Important Skills: SQL, Data Analysis, Git Nice-to-Have Skills: Analytical Skills, Problem-Solving, Communication Skills, Organizational Skills, Collaboration