Design and deploy advanced AI/ML models and GenAI applications to analyze customer-agent interactions, drive actionable insights, and enhance both customer experience and operational efficiency
Job Summary
Design and deploy advanced AI/ML models and GenAI applications to analyze customer-agent interactions, drive actionable insights, and enhance both customer experience and operational efficiency.
Leverage GenAI and LLMs for tasks such as summarization, sentiment analysis, intent detection, response generation, and QA automation.
Work on speech-to-text processing, topic modeling, emotion analysis, and AI-powered coaching insights.
Matching Summary
Design and deploy advanced AI/ML models and GenAI applications to analyze customer-agent interactions, drive actionable insights, and enhance both customer experience and operational efficiency.
Skills & Requirements
Must-have
Machine Learning
Natural Language Processing
Large Language Models
Python
SQL
GenAI / LLM APIs
Nice-to-have
Customer support analytics
Agent coaching
Innovation and experimentation
Collaborative mindset
Key Requirements
3-5 Years of Experience
Bachelor’s/master’s degree in computer science, Data Science, AI/ML, Statistics, or related fields
5+ years of experience in Data Science
2–3 years in Conversation Analytics or NLP-focused roles