Applied Scientist II
3 weeks ago
We are looking for Applied Scientists to tackle challenging problems in the areas of high scale data processing, quality & natural language based information retrieval from data . You will encounter many challenges, including
- Scale (build models to handle billions of records)
- Accuracy (High precision and recall requirements) in deduplication and anomaly detection
- Diversity (models need to work across different data formats, languages, and sources)
You will help us to
- Build scalable systems for intelligent catalog management using ML/AI-based deduplication and entity resolution
- Develop advanced anomaly detection frameworks to identify data quality issues and inconsistencies across large datasets.
- Build knowledge graph-based solutions to enhance data relationships and improve consumption of structured and unstructured data for consumers at scale.
Key job responsibilities
Use AI, NLP and advances in LLMs/SLMs to create scalable solutions for business problems
- Design, develop, evaluate and deploy, innovative and highly scalable ML models
- Work closely with software engineering teams to drive real-time model implementations
- Establish scalable, efficient, automated processes for large scale model development, model validation and model maintenance
- Leading projects and mentoring other scientists, engineers in the use of ML techniques
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience- PhD, or Master's degree
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux- Experience in professional software development
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
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