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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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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