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    Data Scientist - Hyderabad, India - Squareroot Consulting

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    permanent Technology / Internet
    Description
    Data Scientist - AI

    Job location - Hyderabad (Work from Office)

    Exp - 2-9 Years

    Only Immediate Joiners :


    • As an AI Specialist Data Scientist, you will collaborate closely with a multidisciplinary team of engineers and researchers to drive projects from ideation to deployment. Your primary focus will be on developing advanced AI models in areas such as computer vision and speech recognition to support intervention initiatives.
    • Your responsibilities will include tackling complex technical challenges, designing robust model architectures, and delivering impactful solutions that push the boundaries of AI applications in healthcare. You will be instrumental in overcoming architectural hurdles while ensuring compliance with industry standards and best Proficiency in Python and familiarity with data science libraries such as PyTorch, TensorFlow, Keras, and OpenCV.
    - Hands-on experience in designing and optimizing various deep learning architectures including CNNs, RNNs, Transformers, and GANs.

    • Proven track record of working with large and complex annotated datasets for model training and experimentation.
    - Ability to stay updated with the latest advancements in AI research and implement state-of-the-art techniques effectively.

    - Strong mathematical skills encompassing linear algebra, calculus, probability, and statistics.

    • Excellent written and verbal communication skills to effectively communicate complex ideas and findings.
    • Commitment to ethical AI principles and a drive to create interpretable and socially impactful solutions.

    Qualifications :

    • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
    - 2-5 years of industry experience in applying deep learning techniques, with a focus on computer vision, speech recognition, or natural language processing.

    • Handson experience in architecting, pretraining, and finetuning deep learning models to address realworld challenges.
    • Demonstrated proficiency in implementing cuttingedge AI architectures and algorithms.
    • Ability to comprehend and implement advanced techniques from academic papers.
    • Desire to continuously learn and stay updated with the latest developments in AI research and technologies.
    • Passion for leveraging AI to drive positive social impact, particularly in assistive technologies and healthcare applications.
    )

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