• Machine Learning Scientist

    Location IN-TN-Chennai
    Posted Date 12 months ago(12 months ago)
    Job ID
    577181
    Company
    ADCI - Tamil Nadu
  • Job Description

    The Amazon Kindle India team is looking for Machine Learning Scientist!
    As a Machine Learning Scientist, you will bring statistical modeling and machine learning advancements to data analytics for customer-facing solutions in education domain. You will explore, innovate, and deliver advanced statistical learning and modeling techniques that involve processing of huge volume of multi-modal data. You will be working on a fast-paced cross-disciplinary team of engineers with solid industry experience. You are a domain expert in two or more of the following areas: machine learning, statistical modeling, and large-scale distributed systems.

    You will take on challenging customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking.

    · Use statistical and machine learning techniques to create scalable solutions for business problems
    · Design, development and evaluation of highly innovative models for predictive learning
    · Work closely with software engineering teams and business team to independently drive real-time model implementations and new feature creations
    · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
    · Track general business activity and provide clear, compelling management reporting on a regular basis
    · Research and implement novel machine learning and statistical approaches

    Basic Qualifications

    · An MS/PhD in machine learning, Statistics or in a highly quantitative field. PhD strongly preferred.
    · 5+ years of hands-on experience in predictive modeling and analysis
    · Strong Problem solving ability
    · Distributed programming experience is highly recommended
    · Strong communication and data presentation skills

    Preferred Qualifications

    · Experience in predictive modeling and analysis for education domain.
    · Ability to rapidly prototype and evaluate customer applications and interaction methodologies
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