Research Scientist - NLP/Machine Learning (5-10 yrs)

Job Functions:

- Develop rich models for specific tasks of NLP by collecting, curating, coordinating annotations of NL texts, training and adapting machine learning models

- Tune models through feature engineering to optimize model performance by combining rules and machine learning techniques

- Experience with application of ML tools for NL problems

- Integrate the developed models into Curo or other Interactions Platforms.

- Documenting the work either in form of Lab notebooks/research papers

- Mentoring junior associates as required.

Experience and Skills required:

- Masters (With 5 years of experience) or PhD degree (Fresher of With 1 years of experience) in computer science, engineering, linguistics, or a related field.

- Experience in natural language processing technologies and services with emphasis in one or more of the following:

- Data acquisition and NL modeling: harvesting NL resources from the Web, rapid bootstrapping of domain-specific and multilingual NL models for named-entity, syntactic parsing and text classification

- NL systems: large-scale development and deployment, performance monitoring, tuning and optimization of NL models

- NL methodology: grammar-based, data-driven and machine learning-based, hybrid approaches

- NL technologies: spoken language understanding, language translation, natural language search, syntax-semantics.

- Interfaces using ontologies, discourse processing, language generation and summarization, interactive NL systems

- In depth understanding of language processing technology, a strong software background and experience with processing large scale multilingual texts through effective use of computing resources.

- Ability to demonstrate Interactions Values of:

- Being passionate about customer service

- Obsessing with our customer's success

- Respecting each other

- Creating opportunity

- Embracing disruption

- Doing what we say we will do

Pluses:

- Experience working with machine learning tools, speech recognition tools, web crawlers, finite state machines, and open source natural language toolkits are a plus.