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Ai Engineer

2 weeks ago

Bedok, Singapore Yokogawa Full time

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.

Responsbilites
- Process Optimization, and Autonomous Operations in asset-intensive industries such as Oil & Gas, Mining, and Utilities.
- Build and integrate machine learning, deep learning, and generative AI models (LLMs, RAG, multi-agent systems).
- Work with industrial data platforms (SCADA, DCS, PLC, Historians, MES, ERP) to ensure seamless AI integration.
- Deploy AI solutions in cloud-based environments, ensuring scalability and reliability.
- Collaborate with cross-functional teams to translate AI research into practical, high-impact solutions.

Requirements
- Bachelor’s/master’s in computer science, AI, Machine Learning, or related field.
- Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and Keras.
- Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.
- Experience with SCADA, DCS, PLCs, smart sensors, IoT platforms, and Historians.
- Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.
- Experience in Reliability Analytics and Condition-Based Maintenance (CBM)
- Knowledge of neural networks, deep reinforcement learning, and large language models
- Familiarity with multi-agent systems for collaborative decision-making and goal-seeking AI agents
- Familiarity with KPI monitoring, criticality and risk assessment, and asset strategy optimization

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.

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.

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