L&T Technology Services | NLP Data Scientist
4 days ago
About the Role
NLP Data Scientist
Expierence-8-12 Years
Location-Bangalore
Notice Period-Immediate to 15Days
Responsibilities -
- Data acquisition and NL modelling: harvesting NL data, rapid bootstrapping of domain-specific and multilingual NL models for named-entity, syntactic parsing, or text classification.
- NL systems: large-scale development and deployment, performance monitoring, tuning and optimization of NL models. Deploy machine learning models to cloud platforms ensuring scalability and reliability.
- NL methodology: grammar-based, data-driven and machine learning-based, hybrid approaches, deep learning and generative ai based approaches.
- NL technologies: spoken language understanding, language translation, natural language search, syntax-semantics. Interfaces using ontologies, discourse processing, language generation and summarization, interactive NL systems.
- In depth understanding of language processing technology, a strong software background and experience with processing large scale multilingual texts through effective use of computing resources.
- Perform exploratory data analysis and feature engineering to derive actionable insights.
- Collaborate and help build and maintain CI/CD pipelines for seamless integration of models into production.
- Monitor, tune, and optimize models for performance and cost-efficiency in cloud environments.
- Hands on experience with NLTK tool, tokenization, lemmatization.
- Annotation of texts using NLP annotators such as inception.
- Transforming a model from research to production and ability to fine-tune model performance in a production setting using adaptive/incremental machine learning techniques.
- Collaborate with engineering teams to create robust data pipelines and integrate NLP systems into broader applications.
Qualifications
- Masters (With 5 years of experience) or PhD degree (2 years of experience) in computer science, engineering, linguistics, or a related field.
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