Generative Ai Data Scientist - Ggn, Hyd, Blr @ Adal Immigrations

Job Description

Inviting applications for the role of a Manager / Senior Manager - Generative AI Data Scientist. Interested Candidates please send your CV to hidden_email@genpact.com 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 (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. 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 atleast 3 years 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. 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

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: DBA / Datawarehousing
Functional Area: Not Applicable
Role/Responsibilies: Generative Ai Data Scientist - Ggn, Hyd, Blr

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Keyskills:   Text Mining Big Data Algorithms Hadoop Stakeholder Management Project Management Research Java Python R Programming ML Neural Networks Information Retrieval Extraction Sentiment Analysis Parsing NLP Machine Learning Deep Learning UI Development Linux Windows Spark Scala Time Management Natural Language Processing NLP Data Sciences MapReduce Framework AIML Solutions Model Training Evaluation Parameter Tuning Statistical Toolkits AI Methodologies DL NLG NLU Contextual NLP Dependency Parsing Chunking Summarization Deep Learning Methods NLU GPU Experience Social Network Modeling Support Vector Machines Consultative Mindset