APM Terminals · 15 hours ago
Internship - Artificial Intelligence
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.
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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
Qualification
Required
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
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
Company
APM Terminals
APM Terminals operates comprehensive port and integrated inland service networks.
H1B Sponsorship
APM Terminals has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2023 (2)
2022 (1)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
unknown2010-09-09IPO
Leadership Team
Recent News
2026-01-22
Business News Americas
2026-01-16
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