Data Scientist - Bengaluru, India - Spydra

    Spydra
    Spydra Bengaluru, India

    1 week ago

    Default job background
    Technology / Internet
    Description

    JOB DESCRIPTION

    We are seeking a highly motivated and talented data scientist to join our dynamic team and contribute to cutting-edge projects in the field of natural language processing. The successful candidate will work on solving the challenging problem of converting natural language queries into SQL queries. This role offers an exciting opportunity to develop skills in NLP, generative AI, and contribute to the advancement of intelligent systems.

    • Develop and implement algorithms and models using NLP libraries and frameworks (e.g., NLTK, spaCy, TensorFlow,
    • PyTorch) to convert natural language queries to SQL queries.
    • Utilize generative AI techniques and LLMs (Large Language Models) for enhancing natural language understanding and generation capabilities.
    • Stay updated on the latest advancements in NLP, generative AI, deep learning, and database technologies to bring innovative solutions to the project.
    • Collaborate with cross-functional teams to integrate natural language processing components into larger software systems.

    EXPERTISE AND QUALIFICATIONS

    • Bachelor's degree in Computer Science, Software Engineering, or a related field.
    • 2-4 years of professional experience as a data scientist, with a focus on algorithm development or NLP.
    • Solid programming skills in Python.
    • Understanding of natural language processing concepts and techniques.
    • Experience with NLP libraries and frameworks such as NLTK, spaCy, TensorFlow, or PyTorch.
    • Knowledge of SQL and experience working with databases.
    • Familiarity with generative AI techniques and hands-on experience with LLMs (Large Language Models) like GPT
    • (Generative Pre-trained Transformer) or BERT.
    • Strong problem-solving and analytical skills.
    • Excellent communication and teamwork abilities.
    • Proven ability to learn quickly and adapt to new technologies.