Job Location: Bangalore/Bengaluru
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.
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