Senior Staff/Staff Machine Learning Engineer
- Beijing
- Permanent
- Full-time
- Work on GenAI, self-learning systems to solve complex eCommerce scenarios.
- Develop statistical models for predictive and compound AI Models
- Train foundational models that can help with building learning systems.
- Define process and experiments for an E2E foundation model.
- Build E2E AI pipelines for storing/servicing foundational models.
- Mentor and guide team members on frameworks, methodologies related to data lakes, data normalization, dimension reduction, visualization, statistical models.
- Ensure Model training is security, compliance aware.
- Collaborate with cross-team members to understand the requirements ensuring the foundational models, knowledge captured aligns with the company's overall AI strategy.
- Overall 10+ years of working in software engineering and AI/ML Engineering.
- 4+ years of demonstrated data science, experience in building large scale foundational models for eCommerce scenarios.
- Expertise in large language model fine-tuning and deployment.
- Deep understanding of AI/ML/Deep-learning and statistical model architecture.
- Strong statistical/mathematical background in defining metrics, learning functions and result analysis.
- Significant experience in SQL, Python, PySpark, Scala and R
- Proficiency in PyTorch/TensorFlow, Spark, BigQuery
- Experience in creating complex data visualization tools, frameworks and techniques.
- Experience in dimension reduction in big data.
- Proficient in cloud analytical stacks [ Lakes, warehouse, ETL pipelines]
- Experience with inference platforms in AWS, Azure and other open-source platforms.
- Are result-oriented, with a bias towards customer obsession, flexibility, and impact.
- Strong written and verbal communication and teamwork skills
- Passion for Large language models, NLP, and Machine Learning at scale