Data Scientist

Job Responsibilities:

1. Conduct research on computer vision, deep learning and AI problems.
2. Build prototype applications in AI domains such as computer vision, self-supervised learning, multi-modality learning, etc.
3. Work closely with a team of scientists and researchers to concept and iterate on software development.
4. Develop and deploy data science prototypes, with a focus on bringing machine learning models into production.
5. Design and implement scalable and high-performance machine learning models, with a focus on troubleshooting performance and accuracy issues.
6. Collaborate with technical and non-technical teams locally and overseas, and present proof of concepts to stakeholders effectively.
7. Build data cleaning and augmentation pipelines for both machine learning and deep learning model-based projects.
8. Automate processes and workflows for efficient delivery of data science products via scripting and open-source tools.
9. Familiarity with code management and version control systems such as GIT.
10. 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:

1. Degree/Masters/PhD in Engineering or Science with a minimum of 3 years of relevant experience, including at least 1 year in Computer Vision Projects.
2. Experience in real-world data science projects, internships, hackathons, and personal projects.
3. Expertise in Python programming and using libraries for data processing, visualization, and model development, including pandas, numpy, scikit-learn, matplotlib, and seaborn.
4. Proficient in API concepts and libraries, and experienced in utilizing them for testing and deployment, leveraging frameworks such as Flask, Django, or FastAPI.
5. Familiar with databases (e.g., PostgreSQL, Minio) and SQL for data storage and retrieval.
6. 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.
7. Engineering background experienced in Sensing, Controls, Automation, Optimization & Manufacturing Processes is a plus.
8. Data Engineering & Analytics experience is an advantage.