Related skills
python tensorflow pytorch hadoop spark📋 Description
- Hands-on design, development, and lifecycle management of AI models for growth.
- Define growth KPIs and run experiments across paid and owned channels.
- Stay ahead on GenAI, LLM/Agent architectures and apply innovations.
- Ensure scalability, security, and regulatory compliance of AI in crypto.
🎯 Requirements
- 5+ years of experience in recommendation systems, ML, or related AI.
- Hands-on with models (XGBoost, deep learning, Transformers, CF).
- Python proficiency; PyTorch or TensorFlow; AWS Sagemaker or Aliyun PAI.
- Big data processing (Spark, Hive, Hadoop) and distributed computing.
- Understanding of user behavior modeling, multi-modal learning, and RL for recommendations.
- Excellent communication and cross-functional collaboration.
🎁 Benefits
- Competitive total compensation package.
- L&D programs and Education subsidy for growth and development.
- Various team building programs and company events.
- Wellness and meal allowances.
- Comprehensive healthcare schemes for employees and dependants.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!