Job Location: Bangalore
About LeadSquared:
LeadSquared is a leading sales execution SaaS platform, used by over 300,000 users across 2000 businesses in 25 countries to run their sales and marketing processes, and grow their business. LeadSquared drives sales efficiency in the world’s fastest scaling organizations in EduTech, FinTech and Marketplaces.
About Astuto:
We are working on a new product idea that is code-named as astuto. The mission of this project is to create a world-class customer experience software platform that helps businesses understand their customers better so they can retain and grow them. This fits very well in the long-term goal of our business to drive the complete revenue acquisition, retention and growth process.
The cornerstone of this CX platform would be the ability is to ingest all feedback across ticketing, emails, social media, phone calls, zoom calls, surveys etc., and derive insights & action items through natural language processing and text analysis.
To kick-off the project, we are looking to build a small seed team of machine learning and AI enthusiasts with deep expertise in Natural Language Processing. This team would put together the problem statements by working with customers, solve them and envision the core differentiator and USP of the CX platform.
About the Role:
We are looking for a data scientist with deep knowledge and focus on Natural Language Understanding and Processing, Text Analytics.
Responsibilities:
- Ability to work in an ambiguous environment, is result-oriented, customer focused and is able to work in a very fast, iterative manner.
- Gather, evaluate and understand business requirements. Develop data science solutions to address business requirements and challenges.
- Extract and Analyse text data by utilizing appropriate analytics techniques (e.g. NLP, Machine Learning, Neural Nets, Logistic Regression, and Cluster Analysis), build knowledge graphs and generate actionable insights.
- Work with development teams to integrate and transform these models into production quality models.
- Utilize proven skills and knowledge, to provide troubleshooting and timely resolution of models and performance issues.
Skillset:
- Graduate/Post-Graduate/Ph.D in Computer Science/Mathematics/Machine Learning/NLP.
- 5+ years of hands-on experience in building NLP systems from scratch using various NLP frameworks/tools
- Strong understanding of linguistic concepts like Part of Speech, Name Entity Recognition, Dependency Parsing, Parsing, Shallow Parsing and so on
- Hands on with Python and Python related frameworks (Spacy, CoreNLP, Gensim, DeepPavlov, pyTorch, tensorflow, keras).
- Experience in building and deploying BERT-family models, Transformer architecture, LSTMs, CRFs, LDA, Distributed model training, Model diagnostics and error analysis etc.
- Experience with Version Control (e.g. git, gitlabs)
- AWS Experience is a plus
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