AI Engineer
Summary
AI Engineer at a manufacturing company in Batam building AI/ML solutions for production quality, computer-vision defect detection, predictive analytics, and supply-chain optimisation. Core stack: Python with TensorFlow/PyTorch/Scikit-learn; generative AI, LLM, and RAG knowledge is a plus.
About the role
Lead the development and implementation of AI and machine learning solutions that address business and operational needs across manufacturing. This role will help improve product quality, production efficiency, process optimisation, and supply chain performance by turning complex data into practical business outcomes. You will work closely with cross-functional teams to deliver reliable AI applications from concept through deployment and continuous improvement.
Key responsibilities
Develop and implement AI and machine learning solutions to support business and operational needs.
Develop predictive analytics and AI models to improve product quality, production efficiency, and process optimisation.
Develop computer vision solutions for defect detection, quality inspection, and process monitoring.
Analyse production, quality, and operational data to identify business insights, optimisation opportunities, and potential risks.
Develop AI solutions for demand forecasting, production planning, inventory management, and supply chain optimisation.
Collaborate with Production, R&D, Quality, Engineering, and IT teams to translate business requirements into practical AI solutions.
Develop, deploy, monitor, and continuously improve AI and machine learning models and applications to ensure accuracy, reliability, and business impact.
Identify opportunities for process automation, productivity improvement, cost reduction, and quality enhancement through AI technology.
Research and evaluate emerging technologies, including generative AI, computer vision, machine learning, and data analytics, for potential business applications.
Prepare technical documentation and reports related to AI projects, model performance, and implementation.
What we're looking for
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Mathematics, Statistics, or a related field.
Experience in AI engineering, machine learning, data science, or a related field.
Strong programming skills in Python.
Familiarity with AI and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Strong analytical, problem-solving, and communication skills.
Experience with computer vision, predictive analytics, or manufacturing data analytics is an advantage.
Knowledge of generative AI, large language models, retrieval-augmented generation, or AI agents is a plus.
Mandarin proficiency is preferred.
Ability to work independently and collaboratively with cross-functional teams.