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Data Scientist

Reads like an AI Engineer role: building products on existing AI models.

Pay
Pay not listed
Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design and deliver enterprise-scale conversational AI solutions

  • Build intelligent virtual agents and Agent Assist features

  • Build GenAI-powered conversational experiences

From the employer’s posting
Driving the design and delivery of enterprise-scale Conversational AI solutions
Focused on intelligent virtual agents, Agent Assist, GenAI-powered conversational experiences
GenAI-powered conversational experiences

What you’ll bring

All qualifications

Core experience

  • 5–6 years of professional conversational AI development experience
  • Bachelor's or Master's in Computer Science, AI/ML, or related field
  • 2–3+ years in the Google CCAI ecosystem
  • Hands-on UJET or similar platforms integrated with CCAI
Qualification wording
5–6 years of professional experience in conversational AI development
Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
2–3+ years in Google CCAI ecosystem
Hands-on experience with UJET or similar platforms integrated with CCAI.
Education & alternatives
Driving the design and delivery of enterprise-scale Conversational AI solutions using Dialogflow CX/ES, Google CCAI, Generative AI, and UJET. Focused on intelligent virtual agents, Agent Assist, GenAI-powered conversational experiences, CCAI Insights, enterprise integrations, and continuous optimization to enhance customer and agent experiences. - Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. - 5–6 years of professional experience in conversational AI development, with 2–3+ years in Google CCAI ecosystem.
Apply at EXL Service

Posting record

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Actively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 202611 days ago
Recorded sightings
12
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 11

Similar jobs usually come down between day 4 and day 77.

At EXL Service, jobs usually come down by about day 21.

From 51 similar postings that came down, and 281 of EXL Service’s. Coming down is not always a hire.

EXL Service is hiring

211 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
  • 5% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • GCP
Where the posting names them
- Strong experience with Dialogflow CX and ES, including intent/entity design, context handling, webhook integration, and fulfillment. - Practical experience with Generative AI in Google Cloud (Playbooks, Generators, Data Stores). - Hands-on experience with UJET or similar platforms integrated with CCAI.

Your next step

Complete your application on fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.

Applying through Oracle Recruiting

  • Applying starts by asking for your email address.
  • Each employer sets which files it accepts, so read the note beside the upload field.

Already applied? Track this application

Has EXL Service posted this job before?

Yes. We’ve followed 6 other Data Scientist jobs there since October 2026. All 6 are still up.

  1. NoidaStill up after 42 days, first seen Oct 3
  2. NoidaStill up after 37 days, first seen Oct 7
  3. GurugramStill up after 25 days, first seen Oct 20
  4. Uttar PradeshStill up after 19 days, first seen Oct 25
  5. HaryanaStill up after 14 days, first seen Oct 30
  6. GurugramStill up after 11 days, first seen Nov 2
  7. This jobUp 11 days so far, first seen Nov 2

Large employers often post one title for several teams, so these can be separate openings.

About EXL Service

People
About 65,000 in 2025, up 9% from the year before.Annual report (SEC Form 10-K)
Company
Listed as EXLS.

Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

Driving the design and delivery of enterprise-scale Conversational AI solutions using Dialogflow CX/ES, Google CCAI, Generative AI, and UJET. Focused on intelligent virtual agents, Agent Assist, GenAI-powered conversational experiences, CCAI Insights, enterprise integrations, and continuous optimization to enhance customer and agent experiences.

Driving the design and delivery of enterprise-scale Conversational AI solutions using Dialogflow CX/ES, Google CCAI, Generative AI, and UJET. Focused on intelligent virtual agents, Agent Assist, GenAI-powered conversational experiences, CCAI Insights, enterprise integrations, and continuous optimization to enhance customer and agent experiences.

  • Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
  • 5–6 years of professional experience in conversational AI development, with 2–3+ years in Google CCAI ecosystem.
  • Strong experience with Dialogflow CX and ES, including intent/entity design, context handling, webhook integration, and fulfillment.
  • Practical experience with Generative AI in Google Cloud (Playbooks, Generators, Data Stores).
  • Hands-on experience with UJET or similar platforms integrated with CCAI.
Source details

View original posting ↗

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Pay

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Location & working pattern

India

Working pattern and location restrictions need checking in the full posting.

Work authorization

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