Conversational AI Architect-Senior Associate

Years of Experience:

Required Skills

• Familiarity with the contact center architecture domain, conversational design & implementation 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.
• Nice to Have:
• Familiarity with realtime streaming technologies, network and data security implications and methods.
• Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data.
• Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems.
• Proficiency in using frameworks like Dialogflow, Rasa, Amazon Lex, IBM Watson, or Microsoft LUIS.
• Understanding of language models and techniques for improving intent recognition and entity extraction
• 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. and JavaScript framework.
• Experience with RESTful APIs, webhooks, and integrating chatbots with other systems (CRM, databases, etc.).
• Understanding of serverless computing for building scalable and efficient conversational systems
• Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
• 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
• Certifications in cloud solution architectures like AWS Solution Architect - Associate , GCP Cloud Engineer etc.
  

Nice To Have

• Familiarity with realtime streaming technologies, network and data security implications and methods.
• Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data.