Data Scientist (1 Year contract)

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

Not just a job, but a career

Yokogawa, award winner for 'Best Asset Monitoring Technology' and 'Best Digital Twin Technology' at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.

Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.

About the Team
Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.

Job Description:

• 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

Job Requirements:

• Masters/Degree in Engineering/Sciences
• 3-6 years of relevant experience
• Experience with knowledge graphs, semantic search, industrial digital twins, or engineering knowledge management systems.
• Experience applying AI to plant operations, sustainability, energy optimization, asset performance management, or process safety use cases.
• Familiarity with Responsible AI, AI governance, cybersecurity, and human-in-the-loop decision-support systems.
• Experience in real-world data science projects, internships, hackathons, and personal projects
• Expertise in Python programming and using libraries for data processing, visualization, and model development, including pandas, numpy, scikit-learn, matplotlib, and seaborn
• Proficient in API concepts and libraries, and experienced in utilizing them for testing and deployment, leveraging frameworks such as Flask, Django, or FastAPI
• Familiar with databases (e.g., PostgreSQL, Minio) and SQL for data storage and retrieval

By responding to Yokogawa's advertisement, consent is considered given to Yokogawa to collect the required personal data for the purpose of recruitment with expectation that Yokogawa will protect personal data with security safeguards that are reasonable and appropriate to the sensitivity of the personal data, to protect it from unauthorized access, use or disclosure and complies with applicable regulatory requirements with respect to the retention of personal data.

We regret to inform that only shortlisted candidates will be notified.

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture.We will actively recruit, develop, and promote people from a variety of backgrounds whodiffer in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status.We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture.We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status.We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

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