Data Science - Convo AI - Senior Associate 2

Bengaluru (SDC) - Eagle Ridge at Embassy Golf Links Business Park

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Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job 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, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.

Job Title - Data Science - Convo AI

Exp - 6+ yrs

Required Skills:

  • 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 of 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 cliients

  • 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 skills.

  • Familiarity with Agile development methodologies and version control systems.

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

  • Strong attention to detail and ability to deliver high-quality work within deadlines.

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

Desired Languages (If blank, desired languages not specified)

Travel Requirements

0%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS Azure Business Intelligence Chatbots Classification Conversational AI CX Data Analytics Data management Engineering Feature engineering GCP Generative AI Google Cloud JavaScript Machine Learning NLG NLP Power BI PySpark Python QlikView R Salesforce Spotfire Statistics Tableau Testing Topic modeling Word2Vec

Perks/benefits: Career development

Region: Asia/Pacific
Country: India
Job stats:  7  1  0
Category: Deep Learning Jobs

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