Senior AI Engineer - Predictive Manufacturing Analytics

ASIA PULP AND PAPER; Serang; On-site; IDR 400,000,000 - 700,000,000; Full time

Job summary

Asia Pulp and Paper seeks an Expert AI Engineer to design, develop, and deploy AI‑driven solutions for mill operations, leveraging historical and real‑time data to boost equipment reliability and process efficiency.

You will collaborate with production, maintenance, and engineering teams to translate challenges into AI‑based solutions, implement predictive analytics on the shop floor, and ensure scalable, compliant AI systems within our manufacturing environment.

Qualifications

• Bachelor's degree in CS/AI/DS/Engineering or related field.
• 5–8 years in AI/ML, data analytics or data science roles.
• Strong Python and SQL, ML and Generative AI proficiency.
• Experience with predictive analytics, computer vision, and AI deployment in manufacturing environments.
• Cloud familiarity (Azure/AWS/GCP) and data viz with Power BI.

Responsibilities

• Develop and enhance AI models for predictive maintenance and reliability using historical and real-time data.
• Implement and operate AI systems including early warning systems in production environments.
• Integrate data from PLCs, sensors, and historians for AI workflows.
• Analyze and optimize machine parameters using AI-driven insights to improve efficiency and quality.
• Monitor and improve AI model performance for long-term sustainability.
• Collaborate with production, maintenance and engineering teams to translate challenges into AI solutions.
• Create technical documentation and knowledge transfer for adoption of AI solutions.
• Implement company sustainability policies (MBOS, ISO, HSE, 6S, COC).

Skills

Python

SQL

Machine Learning

Generative AI

Education

Bachelor's degree in Computer Science, AI, Data Science, Engineering

Tools

Azure

AWS

Google Cloud

Power BI

Job description

Asia Pulp and Paper seeks an Expert AI Engineer to design, develop, and deploy AI‑driven solutions for mill operations, leveraging historical and real‑time data to boost equipment reliability and process efficiency.

You will collaborate with production, maintenance, and engineering teams to translate challenges into AI‑based solutions, implement predictive analytics on the shop floor, and ensure scalable, compliant AI systems within our manufacturing environment.