Careers

Job Description

• Optimize and automate all decision-making by using data analysis / developing software e.g. glass defect classification AI, electronic materials demand forecasting, or chemicals supply chain optimization
• Model deployment on cloud or on-premise.
• Collaborate and communicate with product, engineering, and business teams to ensure the successful integration of data models into production systems.
• Stay up-to-date with the latest advancements in data science and machine learning.
• Research and develop AI technology including academic cooperation

Required Skills & Qualifications

• College Education (Bachelor’s Degree at least)
• Experience and knowledge of machine learning / mathematical optimization *Over 2 years
• Proficiency in programming languages such as Python/SQL.
• Familiarity with deep learning techniques, NLP, LLM, GenAI.
• Experience with cloud platforms.

Advantageous to have:

• Experience with Databricks/ Pyspark.
• Visualization tools such as Tableau/PowerBI.
• Experience with version control (e.g., Git).