Career Makers
Location
Bangalore | India
Job description
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 doPluses:- 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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