AI/ML Job: NLP Intent Engineer

Kasisto

NLP Intent Engineer at Kasisto

NYC, New York, United States 🇺🇸   (Posted Jul 16 2018)
About the company
Kasisto, a FinTech startup, is on a mission to enable companies to attract, engage, support, and transact with their customers via human-like, intelligent conversations. Kasisto’s conversational AI platform, KAI, powers chatbots and virtual assistants with deep domain expertise across mobile apps, web, messaging platforms, and IoT devices.

Built with the deepest AI portfolio in the industry, KAI is an enterprise-ready platform with self-service tools to customize and continually improve consumer experiences and seamlessly add new features.

Some of the world’s most innovative financial institutions license KAI Banking, including DBS Bank, Mastercard, Varo Money, Wells Fargo, among others. They are creating entirely new experiences to fulfill requests, solve problems, and predict needs for their customers with KAI-powered chatbots and assistants.

Job position
Permanent

Job description
We are looking for an NLP Engineer to contribute to the architecture and development of our conversational interfaces and implementations, by creating sophisticated NLU, intelligent interpretation and context handling, conversational flows and reasoning, and interactive NLG.

What you will be doing:

You will design, build, and maintain new and existing conversational intents for personal and institutional banking across various languages and locales. The position encompasses the entire scope of designing a chatbot, including text normalization and tokenization, natural language understanding (NLU), interpretation and context handling, reasoning and conversational flow, and natural language generation (NLG). You will also oversee and assist with the customization, translation and localization, development of tools, and maintenance of high-quality conversational AI chatbots and virtual assistants, in order to enable financial institutions to facilitate and engage customers with our powerful conversational banking NLP platform.

Candidates must have a strong background that includes production-level experience with Machine Learning, NLP, and a solid command of object-oriented programming. Candidates should be familiar with tuning, evaluating, and debugging NLP systems. Our platform is multilingual, spanning many languages and locales, so the candidate must be comfortable working with diverse language data and should be an expert in the structure and patterns of language. A mastery of multiple languages or a background in linguistics, while not required, is strongly recommended.

This position is ideal for someone who wants to make artificially intelligent chatbots smarter and more useful, and who has a passion for language and NLP. You will have a major impact on the behavior of our conversational AI systems that are being used by millions of banking consumers across the world, while working independently within a small, creative, and supportive environment of passionate people. This is an excellent opportunity for someone looking to gain hands-on experience with a lot of creative control inside a rapidly growing tech startup.

Skills & requirements
3+ years of professional experience with NLP technology

Bachelor’s, Master’s, or PhD in either Computer Science, Software Engineering, or Linguistics (computational or theoretical), preferably with a focus on Artificial Intelligence or Machine Learning

Strong proficiency in Java and a solid Computer Science foundation; must be able to write production-level code and understand OOP principles

Experience with Machine Learning classification and statistical language modeling, especially with respect to current research and trends in the field

Experience with developing multilingual NLU technology, text processing, statistical NLP, and/or conversational agents. Familiarity with building conversational “intents” is a plus

Experience with Python, JavaScript, shell scripting and/or SQL is a plus

Fluency in a foreign language is a plus, especially Mandarin, Cantonese, Indonesian, or French

Instructions how to apply
see the website
[ job website ]

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