Industrial Automation AI Engineer

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.

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.

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

about our Employee Referral process!