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NLP Analyst
2 months ago
We are seeking a highly skilled NLP Analyst to join our Professional Services Team at KTek Resourcing. As an NLP Analyst, you will play a crucial role in creating intuitive and intelligent experiences across multiple text and voice channels.
Key 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
- 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 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.
- Well versed in prompt engineering and LLM fine-tuning.
- Programming capabilities in JavaScript & Python.
- Expert users of XO, Dialogflow, Rasa and other chatbot platforms.
- An understanding of text processing pipelines
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.