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Verint Systems, Inc. Associate Engineer, Conversational in Charleston, West Virginia

Associate Engineer, Conversational

Location US-Remote (United States)

Job ID 15848

Overview of Job Function:

Verint is looking for a smart Associate Conversational Engineer to join and help build conversational understanding for our growing list of clients. The ideal candidate will be very interested in building natural language understanding and will be directly using proprietary natural language processing (NLP) tools to design intelligent virtual assistants that are smart and user friendly. They should be comfortable learning new software and processes and working within a team of talented engineers with tight deadlines. We value people who are able to work collaboratively in a distributed team and who are excited about the potential of conversational solutions.

Great conversation engineers come from different backgrounds. We’re a team of engineers that embodies this. We’re not requiring you to be a computer science major or linguist. What we are looking for is someone with a love for learning and a strong grasp of the English language including grammars and parts of speech; someone who cares about delivering a quality product and can work diligently while creatively tackling problems in the most well considered and efficient manner possible.

Principal Duties and Essential Responsibilities:

  • Assist with architecting and implementing all elements of conversations including intents, patterns, actors, actions, and objects.

  • Assist with performing conversation engineering, testing, and training for continuous learning and improvement.

  • Assist with troubleshooting and debugging complex issues and design creative solutions.

  • Work closely with analyst, development, and QA teams to define, create, and test conversations within the agile implementation process.

  • Balance business requirements with technical feasibility and set expectations on new projects. Recommend changes in development, maintenance, and system standards.

  • Shape the conversation design process and documentation methods to support the testing and development of conversational functionality.

Minimum Requirements:

  • Bachelor’s degree in Computer Science, Engineering, Linguistics, related field or equivalent work experience.

  • Minimum of 0-3 years’ experience with Natural Language Processing, Conversational Engineering.

  • Some experience using other NLU/NLP systems such as Siri, Alexa, Google Home, IBM Watson Conversation, api.ai, or Microsoft LUIS

  • Strong grasp on the English language, particularly with patterns of speech and sentence structures.

  • Excellent communication skills with an awareness of and ability to optimize natural language understanding.

  • Customer-first mentality with a collaborative design approach.

  • Ability to routinely learn and apply new complex systems and processes.

  • A consumer of new technology and a keen interest to explore emerging trends.

  • Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, SS Verification, as well as credit and drug screening, where applicable and in accordance with federal and local regulations.

Preferred Requirements:

  • Experience in one of the following languages: Python, Java, JavaScript, C#, etc.

  • Linguistics background.

  • Experience in an agile environment and is familiar with Agile product delivery methods.

  • Experience deploying production level code.

As an equal opportunity employer, Verint Systems Inc. prides itself in providing employees with a work environment in which all individuals are treated with respect and dignity. This means we are committed to providing equal opportunity to all qualified employees and applicants for employment without regard to one’s race, color, religion, national origin, age, gender, disability, alienage or citizenship status, marital status, creed, genetic predisposition or carrier status, sexual orientation, Veteran status or any other classification protected by applicable federal, state or local laws. This policy applies to all terms and conditions of employment including but not limited to hiring, placement, promotion, compensation, training, leave of absence or termination.

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