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.
Responsibilities
Conduct research on computer vision, deep learning and AI problems
Build prototype applications in AI domains such as computer vision, self-supervised learning, multi-modality learning etc
Work closely with a team of scientists and researchers to concept and iterate on software development
Develop and deploy data science prototypes, with a focus on bringing machine learning models into production
Design and implement scalable and high-performance machine learning models, with a focus on troubleshooting performance and accuracy issues
Collaborate with technical and non-technical teams locally and overseas, and present proof of concepts to stakeholders effectively
Build data cleaning and augmentation pipelines for both machine learning and deep learning model-based projects
Automate processes and workflows for efficient delivery of data science products via scripting and open-source tools
Familiarity with code management and version control systems such as GIT
Stay updated with the latest advancements in data science, machine learning, and deployment techniques through independent research and open source tools and libraries
Job Requirements
Degree/Masters/PhD in Engineering or Science with min 3 years of relevant experience with at least 1 year in Computer Vision Projects
Experience in real-world data science projects, internships, hackathons, and personal projects
Expertise in Python programming and using libraries for data processing, visualization, and model development, including pandas, numpy, scikit-learn, matplotlib, and seaborn
Proficient in API concepts and libraries, and experienced in utilizing them for testing and deployment, leveraging frameworks such as Flask, Django, or FastAPI
Familiar with databases (e.g., PostgreSQL, Minio) and SQL for data storage and retrieval
Understand HTML/CSS/Javascript and have experience in front-end JavaScript frameworks such as Angular or React to design web interfaces for data science prototypes and deploy them.
Engineering background experienced in Sensing, Controls, Automation, Optimization & Manufacturing Processes is a plus
Data Engineering & Analytics
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.
Equal Opportunity Employer
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!
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