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Data Scientist
2 months ago
Position: NLP Analyst ( Natural Language Processing)
Client Location: Philadelphia, PA
Position Summary:
We are looking for a Natural Language Processing Analyst to join our Professional Services Team. Our NLP Analysts play a crucial role in creating intuitive and intelligent experiences across multiple text and voice channels. NLP Analysts use 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. 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
MUST HAVE 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
OTHER SKILLS WE'D APPRECIATE
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.
Well versed in prompt engineering and LLM fine-tuning.
Programming capabilities in JavaScript & Python.
Expert users of Kore.ai XO, Dialogflow, Rasa and other chatbot platforms.
An understanding of text processing pipelines
EDUCATION QUALIFICATIONS
Bachelor’s degree in computer science, Computational Linguistics, or related field plus 1-3 years’ professional experience
Master’s degree in computer science, Computational Linguistics, or related field preferred.
