Amazon Sr AI/ML Business Solutions Scientist RBS Availability 

India, Tamil Nadu, Chennai 

183367672

Key job responsibilities
Design and implement dual-layer machine learning systems combining state-of-the-art models
Develop scalable data pipelines processing 600M+ products monthlyBuild real-time monitoring systems handling 10M+ daily queriesTechnical Objectives:
Develop automated trend detection using advanced AI/ML models
Create clustering algorithms for 2000+ product types across multiple regions
Success Metrics:Scale systems to handle 2x current capacity by Q4'26
Technical Requirements:Machine Learning & AI:Expert knowledge of machine learning models and frameworks
Experience with computer vision and similarity algorithms
Proficiency with Large Language Models
Strong background in clustering algorithmsData Engineering:Experience with large-scale data pipelines
Distributed computing systems expertise
Real-time processing system design
Data validation frameworksSystem Architecture:Modular architecture design
Microservices architecture
API design and development
Performance optimization
Scalable system designTechnical project leadership
Cross-team collaboration
Architecture governance
Technical documentation
Mentoring and guidance
Required Qualifications:8+ years of software development experience
5+ years of machine learning and data science experience
3+ years leading complex technical projects
Bachelor's degree in Computer Science or related field
Experience with large-scale distributed systems
Track record of improving system performance metricsPreferred Qualifications:Master's degree in Computer Science, Machine Learning, or related field
Experience with retail technology systems
Previous experience with visual similarity algorithms
Track record of successful large-scale system implementationsA day in the life
Key Technical Activities:Lead architectural decisions for ML systems and data pipelines
Review and optimize model performance metrics
Analyze system health and scalability metrics
Develop technical specifications and proof of concepts
Debug complex production issues
Evaluate and approve architecture changes
Design solutions for improving visual similarity algorithmsStrategic Focus:Drive improvements in model accuracy and system performance
Define technical standards and best practices
Balance immediate technical needs with long-term architecture
Evaluate new ML technologies and approaches
Guide innovation in automated trend detection
Ensure system reliability and scalability
Monitor and improve key performance metricsRegular Interactions:

- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining