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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.
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 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 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.
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Full-Time