Applied Research Internship Opportunity 2025 | Bengaluru

Applied Research Internship Opportunity 2025 | Bengaluru:

Thomson Reuters Labs is set to hire Applied Research Intern. The working location is in Bengaluru. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.

Applied Research Internship Opportunity 2025 | Bengaluru – Overview

Company Name:	Thomson Reuters Labs
Job Role:	Applied Research Intern
Employment Type:	Internship
Duration:	Not Specified
Educational Qualification:	Are a student (or hold a degree) in Computer Science, Engineering, Statistics, Mathematics, or other quantitative disciplines
Stipend:	Not Specified
Location:	Bengaluru
Work Mode:	Hybrid
Last Date to Apply:	ASAP

Detailed Eligibility

📌Roles & Responsibilities

Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing, and delivering high-quality solutions.
Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.
Innovate: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.

✔What We’re Looking For

Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods including Deep Neural Networks
Are experienced in one or more programming languages (preferably Python) and have experience working in the Cloud (preferably AWS)
Have experience with ML/NLP libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, spaCy, Hugging Face Transformers, LangChain, LangGraph, LlamaIndex, Haystack, FlashRAG, and modern generative AI APIs (e.g. Gemini, OpenAI, or Anthropic) for building RAG and GraphRAG applications.
Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing
Have familiarity with common NLP use cases such as chatbot development, information retrieval, language translation, named entity recognition, summarization and topic modeling
Are a student (or hold a degree) in Computer Science, Engineering, Statistics, Mathematics, or other quantitative disciplines
Have good communication skills and the ability to work collaboratively as part of a team