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    Job · 12289987

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    Machine Learning Engineer II, EU INTech - Exports, Emerging and Expansions

    Amazon · Bengaluru · onsite · Posted 64d ago

    Undisclosed2–7 yrsfulltimeSourced fromLinkedIn

    About a minute. You'll make an account on the way through.

    About this role

    Description Are you obsessed with solving challenging problems? Do you have exceptional software engineering skills? Are you interested into Search Engine Technologies, Document Retrieval and Machine Learning? Are you constantly looking for ways to improve your skills, your software, and your organization? Amazon is looking for a passionate, talented, and inventive Machine Learning Engineer to join our E3 team. You will work with the largest online retail search application in the world, both in terms of users, catalogue size, and computing resources, and your work will directly impact millions of customers. You will collaborate with recognized experts in science and engineering to apply algorithms and ML models.

    You Will

    • Work on projects in Machine Learning in Search space to create highly innovative customer experiences;
    • Process and analyze large amounts of data to discover patterns, find opportunities, and contribute to seize these opportunities;
    • Work closely with Machine Learning experts to validate models via statistically rigorous experiments across millions of customers;
    • Work closely with Scientists to build scalable prototypes for testing. Integrate successful models and algorithms in production systems at very large scale;
    • Work with technical and non-technical business owners to get things done; Our team is spread across Luxembourg, Bengaluru, and Hyderabad.

    Basic Qualifications

    • 2+ years of non-internship professional software development experience
    • Bachelor's degree in computer science or equivalent
    • Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles
    • Experience building and improving complex software systems for end users.
    • Experience with Big Data, NoSQL, Map-Reduce.
    • Solid knowledge of software engineering best practices.

    Preferred Qualifications

    • Knowledge of machine learning approaches and algorithms
    • Experience on highly concurrent, high throughput systems and knowledge of complex distributed systems
    • Experience in more than one major programming language (C++, Java, or related) and at least one scripting language (Perl, Python, or equivalent)
    • Experience or interest in Document Retrieval (indexing), Search Engine Technologies (e.g. Lucene), or Document Understanding (Natural Language Processing) is desirable but not mandatory. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how\-we\-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

    Company - ADCI - Karnataka Job ID: A10418966

    Sourced from linkedin

    Skills

    NoSQLNatural Language ProcessingPerlmapreduceLuceneC plus plussearch engine technologiesPythonJavaBig DataMachine Learningdocument retrievalAlgorithm developmentObject oriented designDocument UnderstandingData StructuresSoftware Development

    About Amazon

    Amazon logo

    Amazon

    Internet

    120k+

    employees

    1994

    32 years old

    Hyderabad / Secunderabad, Telangana

    India

    About

    Amazon is an American multinational technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

    Industries

    InternetRetailUrban TransportLogisticsEmerging TechnologiesIT Services & Consulting

    Employee ratings

    31,409 reviews

    3.9/ 5

    Culture

    4.0

    Career growth

    3.2

    Work-life

    3.8

    Employees rate it well for

    Work Culture3746Salary2936Work Life Balance2821Senior Management1830Career Growth1598

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