Details:
- Hands-on skills with complex Machine learning / Deep learning-based techniques and frameworks for optimal accuracy and performance in big production systems using Python
- Experience building custom NER, Q&A, and Intent Analysis algorithms
- Experience in building Ontologies and knowledge graphs and ability to build NL query parsers
- Experience with complex RNN / LSTM / Encoder-Decoder deep learning architectures.
- Experience with TensorFlow,PyTorch etc.
- Data-driven,with demonstrable rigor in test and training data management.
- Experience filing patents.Major journal publications a plus
- The position is based out of Hyderabad, India and the candidate must be willing to relocate to Hyderabad post-COVID-19.
Min. Qualification:
Masters Computer Science/ Operations Research / Optimization or equivalent field with 2+ years of relevant experience or Ph.D. in Computer Science/ Operations Research / Optimization or equivalent field with an emphasis in Artificial Intelligence and Natural Language Processing
Skills Required:
Python, TensorFlow, PyTorch
Roles:
As a Senior Data Scientist,
- You’ll work with our team to create models that extract data from unstructured and semi-structured data sources,models that use natural language queries for extracting relational data from disparate sources,
and model learning systems that emulate business process decisions end-to-end.
- We deal with a large number of known problems with NLP such as relation extraction, NER, cross-document summarization, natural language understanding, natural language generation, topic modeling, and entity linking/disambiguation.
- Your job includes developing new technologies, improving on existing technologies, and building these tools into enterprise-level software.
- You will be both hands-on and strategic—with both a broad ecosystem-level understanding of our market space andthe ability to work closely with engineering and product teams to deliver software in an iterative, continual-release environment.