Inviting applications for the role of Senior Principal Consultant, Data Scientist for one of our Client (MNC)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 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. 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.ResponsibilitiesDevelop transformative AI/ML solutions to address our clients' business requirements and challengesProject Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter TuningManage Stakeholder/Customer ExpectationsProject Blue Printing and Project DocumentationCreating Project PlanUnderstand 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 timelinesInteract 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 applicationsDo applied research on a wide array of text analytics and machine learning projects, file patents and publish the papersCollaborate with service line teams to design, implement and manage Gen-AI solutionFamiliarity 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 AIWorks closely with service line teams to design, implement, and manage Generative AI solutionsQualifications we seek in you!Minimum Qualifications / SkillsMS in Computer Science, Information systems, or Computer engineeringSystems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithmsFamiliarity with Generative AI technologies, Design and Implement GenAI SolutionsTechnologyOpen Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUISExposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS-Text MinerStrong Core Java experience in large scale product development and functional knowledge of RDBMsHands on to programing in the Hadoop ecosystem, and concepts in distributed computingVery good python/R programming skills. Java programming skills a plusGenAI ToolsCertifications in AI/ML or GenAIMethodologySolutioning & Consulting experience in verticals such as BFSI, CPG, with experience in delivering text analytics on large structured and unstructured dataA solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLUExposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etcDemonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the clients analytics agenda with newer tools and techniquesPreferred Qualifications/ SkillsTechnologyExpert level of understanding of NLP, NLU and Machine learning/Deep learning methodsOpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, NoSQLUI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3GenAI AI/ML ToolsLinux, Windows, GPU ExperienceSpark, Scala for distributed computingDeep learning frameworks such as TensorFlow, Keras, Torch, TheanoCertifications in AI/ML or GenAIMethodologySocial Network modeling paradigms, tools & techniquesText Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network AnalysisPrevious experience with Text analytics implementations, using open source packages and or SAS-Text MinerAbility to Prioritize, Consultative mindset & Time management skills