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.

Job Description:

Design, develop, and deploy AI/ML-based applications using Python and modern frameworks

Design and Implement backend services (REST APIs, FastAPI, Flask, or Django) and frontend interfaces (React, Angular, or Vue)

Develop compelling business cases for the adoption of new technologies, considering feasibility, risks, and potential return on investment

Collaborate with data scientists, domain engineers, and product managers to define solution requirements

Integrate AI modules with industrial systems (e.g., OPC-UA, historians, or MES systems)

Assist in developing and implementing go-to-market strategies for commercially viable technology solutions

Stay current on industry trends, attending conferences, workshops, and actively researching emerging technologies

Job Responsibilities:

Masters/Degree in Computer Science, Data Science, or related field

Chemical, Instrumentation engineering background with Software development and AI engineering could also be considered

5+ years experience as Software Engineer

Strong expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc

Proficient in programming languages such as Python, .NET, or C++

Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)

Deep knowledge of machine learning algorithms, deep learning, NLP, LLM and computer vision

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.

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about our Employee Referral process!