Job 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

• Prior experience in Computer Vision related projects is mandatory

• 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.

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.