Conversational AI Architect-Senior Associate
Conversational AI Architect-Senior Associate
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities including business intelligence data management and data assurance that help our clients drive innovation growth and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data understand and navigate risk and help our clients gain a competitive edge.As part of our Analytics and Insights Consumption team youll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. Youll use visualization statistical and analytics models AI/ML techniques Modelops and other techniques to develop these insights.
Years of Experience: Candidates with 4 years of hands on experience
Required Skills:
Familiarity with the contact center architecture domain conversational design & implementation and industryspecific 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 semistructured data.
Strong problemsolving 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 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 crossfunctional 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 crossfunctional 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 semistructured data.
Good Communication and presentation skills
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Artificial Intelligence Big Data C Programming Language Communication Complex Data Analysis Creativity DataDriven Decision Making (DIDM) Data Engineering Data Lake Data Mining Data Modeling Data Pipeline Data Quality Data Science Data Science Algorithms Data Science Troubleshooting Data Science Workflows Deep Learning Embracing Change Emotional Regulation Empathy 17 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
0Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
