Industrial AI Scientist: LLMs, Plant Data & Automation

Yokogawa; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Yokogawa is seeking an AI/ML Engineer in Singapore to research and develop LLM, Generative AI, and Agentic AI solutions for chemical and process industries. Design AI-powered apps leveraging plant data, maintenance records, and engineering docs to improve decision making.

You will deploy RAG systems, knowledge graphs, and semantic search, building intelligent agents to automate workflows across enterprise systems and digital twins.

Qualifications

• Masters or degree in Engineering or sciences.
• 3-6 years of relevant AI/engineering experience.
• Experience with knowledge graphs, semantic search, digital twins.
• Experience applying AI to plant operations, energy optimization, asset performance.
• Familiar with Responsible AI, AI governance, cybersecurity, and human-in-the-loop decision-support.
• Experience in real-world data science projects, internships, hackathons, and personal projects.
• Proficiency in Python and data libraries (pandas, numpy, scikit-learn, matplotlib, seaborn).
• Proficiency in API concepts; frameworks such as Flask, Django, or FastAPI.
• Familiar with databases (PostgreSQL, MinIO) and SQL.

Responsibilities

• Research and develop innovative LLM, Generative AI, and Agentic AI solutions for chemical and process industry applications
• Design and build AI-powered applications that leverage plant data, engineering knowledge, maintenance records, and operational documentation to improve decision making
• Develop and deploy Retrieval-Augmented Generation (RAG) systems, knowledge graphs, and semantic search solutions to enable contextualized engineering insights
• Build and orchestrate intelligent agents capable of interacting with enterprise systems, industrial databases, digital twins, and engineering tools to automate workflows and support operations
• Develop scalable, reliable, and secure AI solutions, ensuring effective deployment, monitoring, maintenance, and continuous improvement in production environments
• Apply machine learning, deep learning, multimodal AI, and advanced analytics techniques to solve challenges related to predictive maintenance, anomaly detection, process optimization, and asset performance
• Build data engineering pipelines for acquiring, cleaning, enriching, and contextualizing structured and unstructured industrial data
• Collaborate with researchers, software engineers, process engineers, and business stakeholders globally to design, evaluate, and deliver AI solutions from concept through production deployment
• Automate engineering and business processes using AI, APIs, scripting, and open-source technologies to improve efficiency, scalability, and knowledge management
• Stay current with advancements in LLMs, Agentic AI, machine learning, industrial AI, and emerging technologies, continuously contributing new ideas and innovations to the organization

Skills

Python

Pandas

NumPy

Scikit-learn

Matplotlib

Seaborn

APIs

Flask

Django

FastAPI

SQL

PostgreSQL

Semantic search

Knowledge graphs

Digital twins

AI governance

Cybersecurity

Data pipelines

ML/DL

Education

Masters/Degree in Engineering/Sciences

Tools

PostgreSQL

MinIO

Jupyter

Flask

Django

FastAPI

Job description

Yokogawa is seeking an AI/ML Engineer in Singapore to research and develop LLM, Generative AI, and Agentic AI solutions for chemical and process industries. Design AI-powered apps leveraging plant data, maintenance records, and engineering docs to improve decision making.

You will deploy RAG systems, knowledge graphs, and semantic search, building intelligent agents to automate workflows across enterprise systems and digital twins.