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Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
Inviting applications for the role of Assistant Vice President, AI ML Lead
In this role, we are looking for candidates who have relevant years of experience in Text Mining. 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' 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
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.
Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience
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
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
Relevant years of experience in Solutioning Consulting experience in verticals such as BFSI, CPG, with hands on 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
Preferred Qualifications/ Skills
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
Why join Genpact?
Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
Make an impact – Drive change for global enterprises and solve business challenges that matter
Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities
Work with the best – Join 140,000 bold thinkers and problem-solvers who push boundaries every day
Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.