Job Information
Amazon Senior Applied Scientist (L6), Selection Monitoring in Bangalore, India
Description
What does our Selection Monitoring do?
Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. In order to drive expansion of the Amazon catalog, we use machine learning and cluster-computing technologies to process billions of products and algorithmically find products not already sold on Amazon. We work with structured, semi-structured and Visually Rich Documents using deep learning, NLP and image processing . The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from research, prototype, design, coding and deployment. We are looking for Applied Scientists to tackle challenging problems in the areas of information Extraction, Efficient crawling at internet scale. You should have depth and breadth of knowledge in text mining, information extraction from Visually Rich Documents, semi structured data (HTML) and machine learning. You should also have programming and design skills to manipulate Semi-Structured and unstructured data and systems that work at internet scale. You will encounter many challenges, including
Scale (build models to handle billions of pages), - Accuracy (extreme requirements for precision and recall)
Speed (generate predictions for millions of new or changed pages with low latency) - Diversity (models need to work across different languages, market places and data sources)
You will help us to
Build a scalable system which can algorithmically extract information information from world wide web
Intelligently cluster web pages, segment and classify regions , extract relevant information and structure the data available on semi-structured web pages
Build systems that will use existing Knowledge Base to perform open information extraction at scale from visually rich documents.
Key job responsibilities
Job Responsibilities
Use AI, NLP and advances in LLMs/SLMs to create scalable solutions for business problems
Efficiently Crawl web, Automate extraction of relevant information from large amounts of Visually Rich Documents and optimize key processes
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 machine learning models for business application experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Preferred Qualifications
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
Master's degree