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    Generative AI Engineer - Anywhere in India/Multiple Locations/Bangalore - Notus

    Notus
    Notus Anywhere in India/Multiple Locations/Bangalore

    1 day ago

    Default job background
    Technology / Internet
    Description
    Job Title :
    Generative AI Engineer

    Location :
    Remote

    Immediate to 20 days joiners only

    Job Description :


    We are seeking a highly skilled Generative AI Engineer with expertise in artificial intelligence, particularly in the realm of generative models and transformer architectures.

    The successful candidate will play a crucial role in developing cutting-edge AI solutions, leveraging their deep knowledge of AI domain, foundational models, vector databases, and ML operations.

    Responsibilities :


    • Develop and implement advanced generative models using transformer architectures, with a focus on models such as GPT2, GPT3.5, GPT3.5 Turbo, GPT4, LAMMA, and others.
    • Utilize vector databases like Chroma DB to enhance model performance and scalability.
    • Research and stay updated on the latest advancements in generative AI, contributing insights and innovations to ongoing projects.
    • Collaborate with crossfunctional teams to integrate AI solutions into various products and applications.
    • Optimize model performance and efficiency through experimentation and iteration.
    • Implement ML Ops best practices and leverage tools like AWS SageMaker and Amazon Bedrock for model training, deployment, and monitoring.
    • Develop and maintain documentation for AI models, ensuring clarity and reproducibility.
    • Stay informed about industry trends and best practices, proactively suggesting improvements and :
    - Bachelor's or Master's degree in Computer Science, Engineering, or related field. A Ph.
    D. is a plus.

    - Extensive experience (X years) in artificial intelligence, with a focus on generative models and transformer architectures.

    - Strong proficiency in foundational models such as GPT-2, GPT-3.5, GPT-3.5 Turbo, GPT-4, LAMMA, etc.

    - Deep understanding of vector databases, particularly Chroma DB, and their application in AI projects.

    - Hands-on experience with ML Ops practices and tools, including AWS SageMaker and Amazon Bedrock.

    - Proficiency in programming languages commonly used in AI development (e.g., Python, TensorFlow, PyTorch).

    • Excellent problemsolving skills and the ability to work independently or as part of a team.
    • Strong communication skills, with the ability to convey complex concepts to technical and nontechnical stakeholders.
    )
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