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    Data Scientist - Bangalore/Anywhere in India/Multiple Locations - Awign

    Awign
    Awign Bangalore/Anywhere in India/Multiple Locations

    3 days ago

    Default job background
    permanent Technology / Internet
    Description

    Duration : 12 months.

    Location : Bengaluru or Remote (If exceptional).


    Timings : Full Time (As per company timings).

    Notice Period : Immediate Joiner Required.

    Role : Data Scientist.

    Total Experience : 4+ Years.

    Mandatory Skills : Machine Learning Techniques, Deep Learning Techniques, LLMs, Python, NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch), Cloud platform (AWS, Azure or GCP).

    Job Description :

    We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge NLP team.

    You will play a pivotal role in developing and deploying innovative language-based AI solutions that drive real-world impact.

    Responsibilities :

    - LLM Development and Fine-tuning: Fine-tune, customize, and adapt large-scale language models

    - Solution Design: Design, build, and deploy machine learning and deep learning models for various NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering.

    - Data Engineering: Collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning.

    - Experimentation and Evaluation: Develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection.

    - Production Deployment: Work closely with software engineers to integrate NLP models into scalable production systems.

    - Cross-functional Collaboration: Partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of NLP solutions.

    - Knowledge Sharing: Mentor junior team members and stay up-to-date with the latest advancements in NLP and LLMs.

    Must-Have Skills :

    - Master's degree or Phd

    5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models.

    - At least 12 months of in-depth experience working with Large Language Models.

    - Proficiency in Python and NLP-focused libraries (e.

    - Experience working with cloud-based platforms (AWS, GCP, Azure).

    - Excellent problem-solving and analytical abilities.

    - Strong communication skills, both written and verbal.

    - Ability to thrive in a collaborative and fast-paced research environment.

    )
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