Industrial AI/ML Solutions Architect

Yokogawa; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

Yokogawa invites applications for a senior AI/ML engineer to design, develop, and deploy AI-driven solutions across industrial ecosystems in Singapore. You will collaborate with data scientists, engineers, and product managers to integrate models with IoT and OT systems, while shaping go-to-market strategies for scalable technology solutions.

The role requires 8+ years in ML, strong Python and framework expertise, and hands-on experience with cloud platforms, containers, and MLOps.

Qualifications

• Master’s/Ph.D. in Computer Science, Data Science, AI/ML, Engineering, or related quantitative field.
• Chemical/Instrumentation engineering background with software development and AI engineering may also be considered.
• 8+ years of hands-on ML modeling experience architecting, building, fine-tuning, and deploying models.
• Strong expertise in AI/ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn).
• Proficient in programming languages such as Python, .NET, Java, or C++.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Deep knowledge of ML algorithms, deep learning, NLP, LLMs, RAG pipelines, time series forecasting, and computer vision.
• Familiarity with industrial AI/OT systems, protocols, and sensor data integration.
• Working knowledge of MLOps tools (MLflow, CI/CD, Docker) and DevOps practices across Windows/Linux environments.
• Commitment to ethical and responsible AI design and deployment.

Responsibilities

• Design, develop, and deploy AI/ML-based applications using Python and modern frameworks (TensorFlow, PyTorch, scikit-learn).
• Implement backend services (REST APIs, FastAPI, Flask, Django) and frontend interfaces (React.js, Dash/Plotly, Angular, Vue).
• Develop business cases for adopting new technologies, assessing feasibility, risks, and ROI.
• Collaborate cross-functionally with data scientists, domain engineers, and product managers to define solution requirements.
• Integrate AI modules with industrial systems (IoT sensors, OPC-UA, SCADA, MES).
• Support go-to-market strategies for commercially viable technology solutions.
• Stay current on industry trends through research, conferences, and workshops.

Skills

Python

AI/ML frameworks

Cloud platforms

Docker

Kubernetes

NLP/LLMs

Education

Master’s/PhD in CS or related field

Tools

TensorFlow

PyTorch

scikit-learn

REST APIs

FastAPI/Flask

React/Dash

Job description

Yokogawa invites applications for a senior AI/ML engineer to design, develop, and deploy AI-driven solutions across industrial ecosystems in Singapore. You will collaborate with data scientists, engineers, and product managers to integrate models with IoT and OT systems, while shaping go-to-market strategies for scalable technology solutions.

The role requires 8+ years in ML, strong Python and framework expertise, and hands-on experience with cloud platforms, containers, and MLOps.