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Senior Data Scientist ×
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  • 4 - 5 yrs
  • Not Mentioned
  • Bengaluru
  • Problem Solving Python Hadoop TensorFlow
    • Full Time
    graduate
    4 - 5 yrs
    No required
    2
    Niyam IT
    Full Time

    Working Type : Work From Office
    Job Description :

    Freshworks

    Job Description

    Freshworks is seeking a Senior Data Scientist with expertise in Natural Language Processing (NLP) and advanced AI techniques to join our dynamic team. In this pivotal role, you will drive the development of cutting-edge solutions involving retrieval-augmented generation (RAG), large language models (LLMs), and agentic AI for our innovative bots platform. 

    Key Responsibilities:

    • Strategic Problem Solving: Identify and define critical business problems that can be addressed through 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 such as answer generation and conversational AI. Utilize RAG methodologies to enhance model performance and accuracy.
    • Algorithmic Expertise: Apply your deep understanding of machine learning algorithms, statistical methods, and mathematical principles to create innovative solutions that address real-world problems and drive user engagement.
    • Collaboration and Leadership: Partner with product managers, engineers, and business stakeholders to understand requirements, define success metrics, 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 at the forefront of research in NLP, AI, and related fields. Contribute to the advancement of the company's technology stack and explore new methodologies to maintain a competitive edge in the industry.

    Qualifications

    Education: Master's or Bachelor's in Computer Science, Data Science, Statistics, or a related field.



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