Support AI model training and development for the AI Interrow Inspection (AI-based Palm Circle Inspection) project.
Process and analyze plantation data from pilot estates to support AI initiatives, including Smart Grading TPH, Smart Manuring, and Smart Step Harvesting.
Design and develop 3D models and animations for Estate Mechanization new development projects.
Collaborate with project teams to support AI implementation and rollout across plantation operations.
Requirements
Fresh graduate or active undergraduate student with no class to attend from Computer Science, Information Technology, Artificial Intelligence, Data Science, Computer Engineering, Mechanical Engineering, Industrial Engineering, or other related majors.
Available for a 12-month internship (January–December 2026).
Basic understanding of Artificial Intelligence, Machine Learning, Computer Vision, or Data Analytics.- Familiar with Python for data processing and analysis.
Experience with AI frameworks such as TensorFlow, PyTorch, OpenCV, or similar is an advantage.
Familiarity with 3D design and animation software (e.g., Blender, SolidWorks, AutoCAD, or similar) is a plus.
Strong analytical thinking, problem-solving, and communication skills.
Able to work collaboratively with cross-functional teams and willing to support field implementation when required.