Conversational AI Developer (2-15 yrs)

Job Description :

- Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges

- Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems.

- Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems.

- Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, sentiment analysis, topic modeling, and text classification.

- NLP and NLU Verticals Expertise: Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR (incl. Testing), Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI and Generative AI.

- Experience building chatbots using bot frameworks like RASA/ LUIS/ DialogFlow/Lex etc. and building NLU model pipeline using feature extraction, entity extraction, intent classification etc.

- Understanding and experience on cloud platforms (e.g., AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) and their services for building Conversational AI solutions for clients

- Expertise in Python or PySpark. R and JavaScript framework.

- Expertise in visualization tools such as Power BI, Tableau, Qlikview, Spotfire etc.

- Experience with evaluating and improving conversational AI system performance through metrics and user feedback

- Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.

- Proven track record of successfully delivering conversational AI projects on time

- Familiarity with Agile development methodologies and version control systems.

- Ability to stay updated with the latest advancements and trends in conversational AI technologies.

- Strong strategic thinking and ability to align conversational AI initiatives with business goals.

- Knowledge of regulatory and compliance requirements related to conversational AI applications

- Experience in the telecom industry or a similar field

- Familiarity with customer service operations and CRM systems

- Familiarity with data wrangling tools such as Alteryx, Excel and Relational storage (SQL)

- Experience in various statistical techniques such as Regression, Time Series Forecasting, Classification, XGB, Clustering, Neural Networks, Simulation Modelling, Etc.

- Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc.

- Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data.