Join UCT and be part of the fastest-growing sector in the world! We indirectly touch every semiconductor chip that goes into every smartphone, smart car, and device that uses artificial intelligence. This is a critical time for the semiconductor industry and for UCT - as technology evolves, we evolve with it. UCT is a diverse workplace where every talented employee is committed to continuous innovation, challenging the status quo and exceeding customer expectations. If you are a person with a relentless drive to succeed, a strong focus on quality with a passion for success – join us today!
UCT is looking for a talented Digitalization Engineer to join us in Singapore!
Job Summary:
We are seeking an innovative and hands-on Digitalization Engineer to join our global automation engineering team within the semiconductor equipment manufacturing organization. This position will drive the design, development, and deployment of AI/ML/DL solutions that enhance quality, manufacturing efficiency and business excellence. The ideal candidate will be comfortable bridging data science, software engineering, Automation and manufacturing process expertise across global sites.
Essential Duties and Responsibilities:
AI Platform and Application Development:
- Design and develop a user-driven AI UI platform for self-annotation, model training, validation, and deployment across global manufacturing sites.
- Develop and implement AI/ML/DL algorithms for Automation systems.
- Lead AI applications for MES (Manufacturing Execution System) data, including model development for process optimization and predictive analysis.
- Deliver and maintain OCR (Optical Character Recognition) application for serial number extraction (development completed, testing and deployment pending).
- Apply standard process CRISP-DM (business understanding, data understanding, data preparation, modeling, evaluation, deployment), Machine Learning frameworks such as TensorFlow, PyTorch etc. & Agile Methodologies for Business Analytics projects
- Continue development of AI models for Work Order Cycle Time prediction, collaborating with SAP and data engineering teams for feature enrichment.
- Support and enhance the AI-powered chatbot “UltrAI”, leveraging LLM frameworks (e.g., Ollama) to provide manufacturing intelligence and user support.
- Contributes to the company by creating patents and other intellectual property (IP Protection architecture)
Manufacturing & Business Analytics Solutions:
- Build and integrate Operations excellence dashboard modules by creating interfaces for site users to input planned production times and ideal cycle times and contribute to the global automation dashboard architecture.
- Develop AI-driven quoting tools to improve response speed, reduce errors and rejections, and enhance overall customer experience - enabling the business to accelerate bid generation and increase win rates.
- Leads discovery processes with business stakeholders to identify the business requirements and the expected outcome
Cross-Functional Collaboration & Project Leadership:
- Work closely with external consultants and internal teams spanning IT (Data & Analytics, IT Applications), Manufacturing Engineering, Product Engineering, Business Excellence, Product Line Management, and Global PMO.
- Coordinate multiple parallel projects ensuring data alignment, AI model integration, and process standardization across global sites.
- Translate complex technical workstreams into clear deliverables and communicate outcomes effectively to non-technical stakeholders.
Educational/Certification Requirement:
- Bachelors/Master’s degree in computer science, AI, Software Engineering, or related disciplines.
- 4–8 years of experience in AI/ML development, preferably within semiconductor or advanced manufacturing industries.
- Strong hands-on experience in deep learning, computer vision, predictive modeling, and ML platform deployment.
- Proficiency in Python, TensorFlow/PyTorch, OpenCV, and building interactive UI tools (Streamlit, FastAPI, or similar).
- Experience developing AI models for AOI systems, other automation systems and working with MES/SAP-based manufacturing data.
- Familiarity with MLOps tools (MLflow, Kubeflow, Airflow) and cloud computing environments (AWS, Azure, GCP).
- Strong understanding of data engineering concepts, manufacturing KPIs (e.g., OEE, cycle time, yield), and industrial integration principles (edge devices, PLCs, or automation systems).
- Experience in leading multi division projects.
- Excellent project management, multitasking, and communication skills in a cross-functional, global environment.
Preferred Qualifications:
- Experience deploying OCR and LLM-based applications in production environments.
- Knowledge of predictive maintenance, process optimization, or equipment anomaly detection.
- Exposure to AI chatbot frameworks, NLP model tuning, and custom dataset generation.
- Working knowledge of manufacturing quoting systems or cost-modeling tools.
- Proven ability to mentor AI development teams and guide best practices for scalable AI deployment.
At Ultra Clean Technology, we do not just welcome diversity - we celebrate it! Ultra Clean Technology is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under laws and regulations.
