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Senior Software Engineer I

3 months ago

Mumbai, India RELX India (Pvt) Ltd Risk div Company Full time

Job Description

Would you like to be part of a team that delivers high-quality software to our customers?

Are you a highly visible champion with a ‘can do’ attitude and enthusiasm that inspires others?

About the team:

This is an exciting opportunity to join a mature and established software engineering team as a Software Engineer (UI) within the ITTC team, and work in a modern, collaborative, agile development environment to help shape a business-critical software platform that plays a vital role in the success of the organization. You will join a team engaged in delivering web services and applications to the petrochemical and energy industries.

 We are seeking a talented and experienced Senior NLP Engineer with a minimum of 5+ years of industry experience, coupled with proficiency in ReactJs development. The ideal candidate will possess a deep understanding of Natural Language Processing (NLP) techniques and methodologies, along with a proven track record of successfully implementing NLP solutions in Java-based environments. If you are passionate about leveraging NLP to tackle real-world challenges and possess strong Java development skills

Qualifications :

5+ years of Software Engineering experience BS Engineering/Computer Science or equivalent experience required

Requirements :

Good experience in the design, development, and implementation of NLP algorithms and models. Having experience in React, Typescript, CSS,HTML Good to have experience in NextJs, Python, LangChain or other GenAI experience Leverage machine learning and deep learning techniques to extract insights and derive meaning from unstructured text data Proficient knowledge of Java Develop efficient algorithms and pipelines for preprocessing, parsing, and analyzing large volumes of text data. Evaluate the performance of NLP models and algorithms using appropriate evaluation metrics. Good knowledge in algorithms to find and implement tools for NLP tasks Knowledge on NLP libraries and frameworks Fine-tune and optimize NLP models for accuracy, efficiency, and scalability in production environments Stay abreast of the latest advancements in NLP research, methodologies, and tool Drive innovation by proposing and implementing novel approaches to address complex NLP challenges Strong communication skills

Responsibilities:

Develop NLP systems according to requirements Maintain NLP libraries and frameworks Design and develop natural language processing systems Define appropriate datasets for language learning Use effective text representations to transform natural language into useful features Train the developed model and run evaluation experiments Find and implement the right algorithms and tools for NLP tasks Perform statistical analysis of results and refine models Constantly keep up to date within the field of machine learning Implement changes as needed and analyse bugs.

Benefits:

Group Health Insurance Policy (covering self and family) Group Life insurance/accident policy Generous long-service awards New Baby gift