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
- Ensure GenAI outputs are contextually relevant,
- Familiarity with Generative AI technologies, Design and Implement GenAI Solutions
- 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 solution
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
- GenAI Tools
- Certifications in AI/ML or GenAI
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
- AI and GenAI
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
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