Requirements
-Bachelor's or Master's in Computer Science, Data Science, or related; focus on ML/AI.
-3-5 years of experience in machine learning, with tools like TensorFlow or PyTorch.
-Proficiency in Python, data processing libraries (e.g., Pandas, NumPy), and cloud platforms (e.g., AWS).
-Experience in logistics or supply chain applications is a plus.
-Strong analytical skills; Malaysian-based candidates encouraged

Responsibilities
-Design, develop, and deploy machine learning models for predictive analytics and computer vision in warehouse operations.
-Fine-tune algorithms using proprietary datasets to forecast demand and track inventory accuracy.
-Integrate ML solutions with existing systems to achieve metrics like 25% improved inventory precision.
-Conduct model validation, testing, and optimization for real-world deployment.
-Collaborate with data and engineering teams to innovate logistics solutions