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    Senior Machine Learning Engineer - Singapore - AMAZON WEB SERVICES SINGAPORE PRIVATE LIMITED

    AMAZON WEB SERVICES SINGAPORE PRIVATE LIMITED
    AMAZON WEB SERVICES SINGAPORE PRIVATE LIMITED Singapore

    Found in: Talent SG 2A C2 - 4 days ago

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    Description
    Roles & Responsibilities

    Amazon launched the Generative AI (GenAI) Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate enterprise innovation and success with Generative AI ). Customers such as Highspot, Lonely Planet, Ryanair, and Twilio are engaging with the GAI Innovation Center to explore developing generative solutions.

    GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud.

    As a Machine Learning Engineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be working alongside scientists with terabytes of text, images, and other types of data and develop Gen AI based solutions to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

    Key job responsibilities
    Our ML Engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for the intersection of software development with generative AI and machine learning. You'll also:

    • Solve complex technical problems, often ones not solved before, at every layer of the stack.
    • Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security.
    • Build high-quality, highly available, always-on products.
    • Research implementations that deliver the best possible experiences for customers.

    Basic qualifications

    • 8+ years of non-internship professional software development experience
    • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
    • Experience building complex software systems that have been successfully delivered to customers
    • Experience as a mentor, tech lead or leading an engineering team
    • 5+ years experience in data querying languages (e.g. SQL), scripting languages (e.g. Python) with exposure to machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

    Preferred qualifications

    • 5+ 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
    Tell employers what skills you have

    Twilio
    Machine Learning
    MongoDB
    Data Analysis
    Modeling
    Customer Experience
    Pipelines
    Design Patterns
    Scripting
    Reliability
    PyTorch
    Python
    Architecture Design
    Writing
    Debugging
    Software Development

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