Research 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. RESPONSIBILITIES - Conduct research on computer vision, deep learning and AI problems - 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 atleast 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. 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