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 18000 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 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 ( 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

• Masters/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 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 Yokogawas 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 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 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 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 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.

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