Research Scientist

2 weeks ago

bangalore, India Career Makers Full time

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.

(ref:hirist.tech)

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