Key responsibilities
- Design, develop and deploy machine learning models and AI solutions tailored to assembly and process optimisation challenges
- Collaborate with manufacturing and process teams to identify opportunities for automation and performance improvement using AI technologies
- Conduct data analysis and statistical modelling to support process optimisation and predictive maintenance initiatives
- Develop algorithms for quality control, defect detection and real-time monitoring within manufacturing environments
- Integrate AI systems with existing manufacturing equipment, control systems and industrial IoT platforms
- Test, validate and continuously refine AI models to ensure accuracy, reliability and scalability in production environments
- Document technical specifications, system architectures and implementation protocols for AI solutions
- Collaborate with cross-functional teams including process engineers, automation specialists and product managers to ensure AI solutions meet operational requirements
- Stay current with advancements in AI, machine learning and automation technologies relevant to manufacturing and logistics
- Troubleshoot and resolve technical issues related to AI system performance and integration
What we're looking for
- Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, Data Science or a related discipline; Master's degree is advantageous
- Proven experience developing and deploying machine learning models and AI applications in production environments
- Strong proficiency in programming languages such as Python, Java, C++ or similar; experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn or Keras
- Solid understanding of data engineering, data preprocessing and feature engineering techniques
- Experience with industrial automation, IoT (Internet of Things) or manufacturing systems is highly desirable
- Knowledge of process optimisation, predictive maintenance or quality control applications in manufacturing
- Familiarity with cloud platforms for AI deployment (AWS, Azure, Google Cloud) and containerisation technologies (Docker, Kubernetes)
- Strong problem-solving skills with the ability to translate complex manufacturing challenges into AI-driven solutions
- Excellent communication and interpersonal skills with the ability to work effectively in cross-functional teams
- Detail-oriented with a commitment to quality, reliability and continuous improvement
- Experience with version control systems (Git) and agile development methodologies
Pay: RM2,000.00 - RM5,000.00 per month
Work Location: In person
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