Key Responsibilities
- Develop and deploy scalable, low-latency machine learning systems using Python
- Design and implement end-to-end ML pipelines including data pre-processing, model generation, and cross-validation
- Build high-performance systems for processing large datasets with proficiency in distributed programming frameworks
- Collaborate with cross-functional teams to integrate ML solutions into production systems
- Optimize and maintain real-time AI services with active feedback mechanisms
Requirements
- Strong knowledge of data structures, algorithms, and database fundamentals
- Hands-on experience with Python and JVM-based languages
- Familiarity with Linux, distributed programming, and big data technologies
- Prior exposure to machine learning system design and deployment
- Excellent analytical thinking and communication skills