Applied Scientist Ii, Selection Monitoring

1 week ago

Bengaluru, India ADCI - Karnataka Full time

Masters with 8+ years OR PhD with 3+ years of applied work experience in Computer Science, Machine Learning, Statistics, Information Retrieval or a related field
- Experience in dealing with ambiguity and competing objectives
- Strong communication and data presentation skills
- Hands-on experience programming in Python, R, Java or similar programming languages

Job summary

We are looking for Applied Scientists to tackle challenging problems in the areas of information Extraction at internet scale. You should have depth and breadth of knowledge in text mining, information extraction from Visually Rich Documents 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
- Use ML, NLP and analytical techniques to create scalable solutions for business problems
- 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

About the team
- Experience in designing and implementing information extraction systems from semi structured and unstructured documents, web mining, deep learning
- Top tier publication and Research experience record
- Maintain an understanding of industry and technology trends in area of research.
- Strong personal interest in learning, researching, and creating new technologies with customer impact
- Proven track record in technically leading and mentoring scientists as well as engineer

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