Genpact - Manager/Senior Manager - Data Scientist - Generative AI

Inviting applications for the role of a Manager / Senior Manager - Generative AI Data Scientist.

The candidate should be 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.

Or

Full cycle experience desirable in at least 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.

Location - Bangalore/ Hyderabad/Gurgaon - RTO

Key Roles and Responsibilities:

- The Text Mining Scientist 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.

The key responsibilities of the Text Mining Scientist are:

- 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.

Required and Preferred Skills:

Specific Competencies - Essential:

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:

- 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.

Specific Competencies:

Desirable:

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.