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    Software Development Engineer - Chennai, India - ADCI MAA 15 SEZ

    ADCI MAA 15 SEZ
    ADCI MAA 15 SEZ Chennai, India

    2 days ago

    Default job background
    Full time
    Description

    The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive SDE to play a pivotal role in the development of industry-leading multi-modal and multi-lingual large language models (LLM).

    As our SDE superstar, you'll have the power to lead the charge in developing modeling techniques and infrastructure that will push the boundaries of large model training using cutting-edge hardware like AWS Trainium.

    Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs

    Get ready to dive into Amazon's vast and diverse data sources and harness the immense power of our large-scale computing resources to turbocharge the development of multi-modal Large Language Models (LLMs) and other awe-inspiring Generative Artificial Intelligence (Gen AI) applications.

    Your expertise and insights will be invaluable in defining data strategies, enrichment processes, model optimizations, and evaluation methods that will set new standards in the industry
    So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance Join us on this exhilarating adventure and let's revolutionize AGI together
    Key job responsibilities

    • Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs.
    • Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications.
    • Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
    • Work closely with Applied scientists to process massive data, scale machine learning models while optimizing
    A day in the life

    As a SDE with the AGI team, you will be responsible for leading the development of algorithms and modeling techniques to advance the state of the art of large model training using hardware like AWS Trainium.

    Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations.

    You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications.

    As a key player in our team, you'll have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon.

    You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality.

    Work in an Agile/Scrum environment to move fast and deliver high quality software.
    About the team
    Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.
    We are open to hiring candidates to work out of one of the following locations:
    Banagalore, KA, IND | Chennai, TN, IND


    BASIC QUALIFICATIONS

    • 3+ years of noninternship professional software development experience
    • 2+ years of noninternship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
    • Experience programming with at least one software programming language

    PREFERRED QUALIFICATIONS

    • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
    • Bachelor's degree in computer science or equivalent
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