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Salary
$80k – $222k per year (Estimated)
Location
In office (Singapore)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
This is the Global Website of Yokogawa Electric Corporation. Founded in 1915, Yokogawa Electric Corporation has over 100 years experience in the measurement, control, and information businesses, and provides leading-edge products and services to industry. | Yokogawa Electric Corporation.

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.

Responsibilities:

  • Design, develop and deploy AI and machine learning solutions for predictive maintenance, process optimization and operational efficiency.
  • Build predictive and prescriptive models using classification, regression, forecasting, anomaly detection and optimization techniques.
  • Develop industrial knowledge assistants using Large Language Models, Retrieval-Augmented Generation, embeddings, vector databases and proprietary knowledge bases.
  • Explore agentic AI, multi-agent systems and reinforcement learning for industrial decision-making and automation.
  • Develop AI-enabled recommendations to improve equipment reliability, productivity and operational performance.
  • Integrate AI solutions with industrial and enterprise systems such as PLC, DCS, SCADA, historians, IoT platforms, EAM, MES and ERP.
  • Deploy scalable AI solutions across cloud, on-premises and edge environments.
  • Monitor model performance, data quality, explainability, security and responsible AI requirements.
  • Collaborate with software engineers, automation engineers, domain specialists and business stakeholders to deliver practical AI applications.

Requirements:

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering or a related discipline. Candidates with equivalent practical experience may also be considered.
  • At least 3 years of hands-on experience in AI, machine learning, data science or advanced analytics.
  • Strong programming experience in Python and common data science or machine learning libraries.
  • Experience with frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn or equivalent.
  • Experience in predictive analytics, time-series analysis, forecasting, anomaly detection or optimisation.
  • Hands-on experience developing Generative AI applications using LLMs, RAG, embeddings or vector databases.
  • Experience deploying AI solutions in cloud, on-premises or edge environments.
  • Experience in oil and gas, utilities, mining, manufacturing, energy or other asset-intensive industries.
  • Knowledge of predictive maintenance, condition-based maintenance or reliability analytics.
  • Familiarity with SCADA, DCS, PLC, historians, smart sensors or Industrial IoT platforms.
  • Exposure to MLOps, agentic AI, multi-agent systems, deep learning or reinforcement learning.
  • Experience working with sensor data, time-series data, maintenance records or technical documents

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. Wewill 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. Wewill 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.

Are you being referred to one of our roles? If so, ask your connection at Yokogawa

about our Employee Referral process!

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