Career Makers Hiring for Research Scientist – NLP/Machine Learning at Bangalore, Karnātaka 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 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.com)