Description :

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 customers 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

- 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 clients analytics agenda with newer tools and techniques.