Tasks:
- * Apply mathematical optimization
- * Apply statistical modeling
- * Build scalable data architectures
- * Design analytics strategies
- * Design and implement AI agents and data products
- * Design MLOps platforms
- * Develop machine learning models
- * Drive generative AI and LLM transformation projects
- * Implement analytics solutions in business operations
- * Lead data-driven decision-making
- * Optimize supply chains, financial risk, marketing, and pricing
- * Scale AI products and solutions
- * Structure business challenges and define analytical questions
- * Support AI transformation strategy and execution
- * Translate analysis into executive insights
Perks/Benefits:
- + Annual paid leave
- + Domestic and international training
- + Flexible working hours
- + Knowledge-sharing programs
- + Maternity, parental, and special leave
- + Overseas office assignments
- + Retirement plan
- + Social insurance
- + Summer and year-end holidays
- + Weekends and public holidays off
Skills/Tech stack required:
[AI Agents] [Analytics Strategy] [Business Intelligence] [Computer Vision] [Data Architecture] [Data product] [Data product development] [Data Warehousing] [DevOps] [English] [Generative AI] [Language Models (LLMs)] [Language Processing] [Large Language Models] [Large Language Models (LLMs)] [Machine Learning] [Marketing Analytics] [Mathematical Optimization] [MLOps] [Natural Language] [Natural Language Processing] [Operations Research] [Product Development] [Python] [Software development] [Speech Recognition] [Statistical modeling]
Educational requirements:
[Master's Degree] [PhD]
Role(s):
[AI Consultant] [Consultant] [Data Scientist] [Engineer] [Learning Engineer] [Machine Learning Engineer] [Scientist]