Senior Data Scientist - NLP and AI Specialist (India)
Freshworks
Location
🇮🇳 India
Type
full_time
Salary
Undisclosed
Posted
2d ago
Job Description
**
Role Overview
:**You are a Senior Data Scientist specializing in Natural Language Processing (NLP) and advanced AI techniques, joining a energetic team at Freshworks.
Your role
involves driving the development of cutting-edge solutions related to retrieval-augmented generation (RAG), large language models (LLMs), and agentic AI for the innovative bots platform. Your expertise will be crucial in tackling complex challenges, delivering impactful results, and shaping the future of conversational AI technology.**
Key Responsibilities
:**- **Strategic Problem Solving:** - Identify and define critical business problems suitable for advanced machine learning and NLP techniques. - Translate complex
requirements
into actionable data science projects.- **Advanced Model Development:** - Design, develop, and deploy sophisticated NLP models, including LLMs and retrieval systems for applications like answer generation and conversational AI. - Utilize RAG methodologies to enhance model performance and accuracy.- **Algorithmic Expertise:** - Apply deep understanding of machine learning algorithms, statistical methods, and mathematical principles to create innovative solutions addressing real-world problems and driving user engagement.- **Collaboration and Leadership:** - Partner with product managers, engineers, and business stakeholders to understand
requirements
and ensure alignment with business objectives. - Lead cross-functional teams to deliver end-to-end solutions.- **System Architecture and Scalability:** - Oversee the integration of machine learning models into production systems. - Collaborate with engineering teams to build scalable, high-performance data pipelines and ensure robust deployment of models in live environments.- **Research and Innovation:** - Stay updated on the latest research in NLP, AI, and related fields. - Contribute to advancing the companys technology stack and explore new methodologies for a competitive edge.**