about 4 hours ago
Responsibilities
- Design and implement end-to-end ML pipelines for a centralized Knowledge Base.
- Develop systemic checks and validation frameworks for business metrics.
- Architect 'Self-Healing' data pipelines using AI tools.
- Scale existing Data and Analytics services for the Taiwan organization.
- Build automated feedback mechanisms for content and metric definitions.
- Drive innovation in semantic retrieval and query understanding.
- Enable and train reporting functions to self-serve with confidence.
- Mentor senior and mid-level engineers in code quality and system design.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field.
- 8+ years of experience in software engineering and applied machine learning.
- Proficiency in Python or Java with experience in production-grade ML systems.
- Strong experience with SQL and big data technologies like Spark and Airflow.