Innovation and Technology Specialist

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 (TensorFlow, PyTorch, scikit-learn)
• Implement backend services (REST APIs, FastAPI, Flask, Django) and frontend interfaces (React.js, Dash/Plotly, Angular, Vue)
• Develop business cases for adopting new technologies, assessing feasibility, risks, and ROI
• Collaborate cross-functionally with data scientists, domain engineers, and product managers to define solution requirements
• Integrate AI modules with industrial systems (IoT sensors, OPC-UA, SCADA, MES)
• Support go-to-market strategies for commercially viable technology solutions
• Stay current on industry trends through research, conferences, and workshops

Job Responsibilities

• Master’s/Ph.D. in Computer Science, Data Science, AI/ML, Engineering, or related quantitative field
• Chemical/Instrumentation engineering background with software development and AI engineering may also be considered
• 8+ years of hands-on ML modeling experience architecting, building, fine-tuning, and deploying models
• Strong expertise in AI/ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn)
• Proficient in programming languages such as Python, .NET, Java, or C++.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
• Deep knowledge of ML algorithms, deep learning, NLP, LLMs, RAG pipelines, time series forecasting, and computer vision
• Familiarity with industrial AI/OT systems, protocols, and sensor data integration
• Working knowledge of MLOps tools (MLflow, CI/CD, Docker) and DevOps practices across Windows/Linux environments
• Commitment to ethical and responsible AI design and deployment

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 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.

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!