Natural Language Processing Engineer (Remote)

We are looking for a Natural Language Processing Analyst to join our Expert Services Team. Our NLP Analysts play a crucial role in creating intuitive and intelligent experiences across multiple text and voice channels. NLP Analysts use our established NLP tools and features to support conversational experiences that drive business outcomes.

NLP Analysts work on collaborative project teams with conversation designers, business analysts, solution architects, and developers to deliver custom solutions that highlight the unique capabilities of our platform. NLP Analysts interact directly with customers to analyze business objectives, advocate for NLP solutions, and offer mentorship and training that will enable customers to manage their own applications.

RESPONSIBILITIES

Research and analyze the scope of intents within the linguistic and technical dimensions of bot’s capabilities.
Establish intent and entity scopes.
Identify training needs/ gaps.
Collaborate with design and development teams to ensure NL performance supports positive UX.
Define the approach towards using specific platform features to service the needs of business use cases.
Clean, label, and prepare training data.
Create and maintain testing data sets to verify NLU performance.
Analyze chat/call history and optimize intent/entity training.
Debug the bot behavior and fix NL issues.
Create intent/ entity accuracy reports.

Years of experience needed –

10+ Years of experience

Technical Skills:

Excellent written and spoken communication skills
An appreciation for constant learning and solutioning
A willingness to take on challenges that are not clearly defined
Strong customer relationship management skills
Understanding of User Experience principles and techniques
Hands-on experience with chatbots and voice assistants
Background in linguistic analysis of conversational language
Ability to explain complex concepts to a diverse audience and advocate for solutions that optimize the capabilities of the Kore.ai platform
Familiarity with G-Suite, Office 365, and collaboration tools like MS Teams and Slack
Training in computational linguistics. Knowledge of deterministic and probabilistic models.
Experience building ML model data sets
Experience in data analysis. Including cleaning, classification and labeling
Experience fine tuning ASR and TTS models, background in speech acoustics
Programming capabilities in Javascript & Python
An understanding of text processing pipelines