Tasks:
- * Apply mathematical optimization
- * Build and scale data products
- * Build statistical models
- * Design analytics strategies for business challenges
- * Design and implement AI agents
- * Design data platforms
- * Develop machine learning models
- * Develop scalable data architectures
- * Drive business implementation of analytical solutions
- * Implement MLOps
- * Lead data-driven decision-making and transformation
- * Lead generative AI and LLM transformation projects
- * Support AI transformation and new business creation
- * Translate analytical results into executive insights
Perks/Benefits:
- + Annual paid leave
- + Domestic and international training
- + Flexible work schedule
- + Knowledge-sharing programs
- + Overseas office placement opportunities
- + Parental leave
- + Retirement benefits
- + Social insurance
- + Summer vacation
- + Two-day weekends
- + Year-end holidays
Skills/Tech stack required:
[AI Agents] [Analytics Strategy] [Business Intelligence] [Computer Vision] [Data Architecture] [Data Products] [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] [Python] [Software development] [Speech Recognition] [Statistical modeling]
Educational requirements:
[Doctoral degree] [Master's Degree]
Role(s):
[Data Scientist] [Engineer] [Learning Engineer] [Machine Learning Engineer] [Scientist]