- Our client is looking to build a team of Data Scientists to support real-time transcription of their high-volume contact centers based virtually and throughout the United States.
- The team currently has Speech Analysts, and they are looking to expand their capabilities to provide real-time text data transcription and sentiment analysis, and use AI instead of audio.
- The goal is to develop AI models with transcripts to capture call summaries in two to three sentences about the issue and resolution, and gather sentiment feedback based on tone, energy, and language.
- Currently, they have natural language processing (NLP) in place and need to improve LLMs for GenAI. Theyre not wanting the creation of a chatbot or repository, but more so candidates who understand what is going on behind the screen and fine tuning the existing model.
- The LLMs are text data specific and they need to incorporate more word embedding to convert word phrases to numerical representation of words using different techniques to identify similarities and allow the computer to understand those meanings.
- The goal is to build their own ChatGPT which will involve transcript and phonetic based queries converting that to transcript-based queries.
- This role will be responsible for:
o Mining complex data and providing systems-related advice for their organization.
o Design new ways to incorporate vast information with a focus on information technology topics.
o Work with different data mining techniques such as clustering, regression analysis, decision trees and support vector machines.
o Help fine tune data models and existing LLMs
The pay rate for this role varies depending on level and years of experience and will range from $40-$45/hour.
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Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.