Job Description

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and

expertise

in data, technology, and AI.

Inviting applications for the role of

Lead Consultant, AI ML Lead!

In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will

leverage

his/her solutioning expertise

to translate the customer's business need into a techno-analytic problem and appropriately work with database teams to bring

large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools.

Responsibilities

Develop transformative AI/ML solutions to address our clients' business requirements and challenges

Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning

Manage Stakeholder/Customer Expectations

Project Blue Printing and Project Documentation

Creating Project Plan

Understand and research

cutting edge

industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc.

Conceptualize, Design, build and develop solution algorithms which

demonstrate

the minimum

required functionality within tight timelines

Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap.

Work with digital development teams to integrate and transform these algorithms into production quality applications

Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers

Qualifications we

seek

in you!

Minimum Qualifications / Skills

MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big

Data

and algorithms.

Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience

Full cycle experience desirable in

atleast

1 Large Scale Text Mining/NLP project from creating a Business

use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework

Technology

Open Source

Text Mining paradigms such as NLTK,

OpenNLP,

OpenCalais

, StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS

Exposure to Statistical Toolkits such as R,

Weka, S

-Plus, Matlab, SAS-Text Miner

Strong Core Java experience in large scale product development and functional knowledge of RDBMs

Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing

Very good

python/R programming skills. Java programming skills a plus

Methodology

Relevant years of experience in Solutioning & Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data

A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU

Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization,

etc

Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client's analytics agenda with newer tools and techniques

Preferred Qualifications/ Skills

Technology

Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods

OpenNLP

,

OpenCalais,

StanfordNLP

, GATE, UIMA, Lucene, NoSQL

UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3

Linux, Windows, GPU Experience

Spark, Scala for distributed computing

Deep learning frameworks such as TensorFlow,

Keras

, Torch, Theano

Methodology

Social Network modeling paradigms, tools & techniques

Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis

Previous

experience with Text analytics implementations, using

open source packages and or SAS-Text Miner

Ability to Prioritize, Consultative mindset & Time management skills

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws.

Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at

genpact.com

and on

LinkedIn

,

X

,

YouTube

, and

Facebook

.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants

are not required to

pay to participate

in our hiring process in any other way. Examples of such

scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

JobLead Consultant

Primary LocationIndia-Bangalore

ScheduleFull-time

Education LevelMaster's / Equivalent

Job PostingMay 19, 2025, 5:41:00 AM

Unposting DateNov 15, 2025, 9:41:00 AM

Master Skills ListDigital

Job CategoryFull Time