Role: Data Scientist (Kore.AI, NLP, AWS)
Location: Onsite: Malvern, PA
Role Overview:
We are looking for a Data Scientist with expertise in Natural Language Processing (NLP) and hands-on experience with conversational AI platforms, particularly Kore.AI, to support the development of omni-channel and agent-facing capabilities. The role requires proficiency in creating data pipelines, analyzing conversational intents, and deploying scalable AI/ML solutions on AWS.
Key Responsibilities:
* Develop NLP models for intent identification, disambiguation, and conversational design.
* Work on Kore.AI platform to design and implement conversational AI solutions for both customer and agent-facing applications.
* Build and optimize data pipelines to create and manage data artifacts for agentic implementations.
* Collaborate with cross-functional teams to integrate conversational AI solutions into existing architectures.
* Leverage AWS services like SageMaker, Glue, and Lambda for model deployment and data processing.
* Conduct exploratory data analysis, feature engineering, and model tuning for performance optimization.
* Stay updated on the latest developments in conversational AI and NLP.
Qualifications:
* Bachelor's/Master's degree in Computer Science, Data Science, or related field.
* 3-5 years of experience in NLP, machine learning, and conversational AI development.
* Hands-on experience with Kore.AI or similar platforms (e.g., Dialogflow, Microsoft Bot Framework).
* Proficiency in Python and NLP libraries (e.g., SpaCy, Hugging Face, NLTK).
* Experience with AWS tools like SageMaker, Glue, Lambda, and S3.
* Strong understanding of conversational AI design principles and best practices.
* Excellent problem-solving and communication skills.
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