Senior Principal Consultant-Data Scientist

Inviting applications for the role of Senior Principal Consultant, Data Scientist

In this role, we are looking for candidates who have relevant years of experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.

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. 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%27 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

Collaborate with service line teams to design, implement and manage Gen-AI solution

Familiarity with generative models, prompt engineering, and fine-tuning techniques to develop innovative AI solutions.

Designing, developing, and implementing solutions tailored to meet client needs.

Understanding business requirements and translating them into technical solutions using GEN AI

Works closely with service line teams to design, implement, and manage Generative AI solutions.

ML/LLM Ops knowledge.

Preferred atleast 1 deployment experience.

Experience with one of the cloud computing platforms

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

Familiarity with Generative AI technologies, Design and Implement GenAI Solutions

ML/LLM Ops knowledge.

Preferred atleast 1 deployment experience.

Experience with one of the cloud computing platforms

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, Weka, S-Plus, Matlab, SAS-Text Miner

Very good python programming skills. Java programming skills a plus

GenAI Tools

Certifications in AI/ML or GenAI (optional to have certification)

Methodology

Solutioning & Consulting experience in verticals such as BFSI, CPG, with experience in 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