Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow.
Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails.
Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery.
Leverage statistical and machine learning techniques to extract actionable insights from client retention data.
Develop customer churn prediction models that proactively identify at-risk clients,
Build tools to process structured and unstructured data.
Engineering features and signals to train ML model from diverse data collection.
Requirements
BS required/ MS/ preferred; in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus)
4 years’ experience in data science methodologies as applied to live initiatives or software development// Experience working with Gen AI projects
Minimum 4+ years of experience in python coding and statistical analysis
Minimum 2 years working experience in several of the following:
Prompt Engineering and working with LLMs
Machine Learning and statistical techniques
Data mining and recommendation systems
Natural Language Processing and Information Retrieval
Experience working with large volumes of data
User behavior modeling.
Additional Instructions
Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow.
Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails.
Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery.
Leverage statistical and machine learning techniques to extract actionable insights from client retention data.
Develop customer churn prediction models that proactively identify at-risk clients,
Build tools to process structured and unstructured data.
Engineering features and signals to train ML model from diverse data collection.
Perks and Benefits
A collaborative, positive culture. You’ll work with people who are as enthusiastic, smart and driven as you are. You’ll be managed by the best too.
Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization.
