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    IT Application Solutions - hyderabad, India - Celanese Corporation

    Celanese Corporation
    Celanese Corporation hyderabad, India

    3 weeks ago

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    Description

    Overview

    综述:

    We are currently hiring a highly skilled and motivated Contextualization
    Engineer to join our talented engineering team. As a Contextualization Engineer, you will be
    responsible for developing, maintaining and implementing cutting-edge OCR based AI models
    to contextualize data from complex enterprise systems with documents. You will work closely
    with data scientists, software engineers, and product managers to design, build, and deploy
    AI-powered solutions that enhance our products and services.

    Responsibilities 职责:

    Key Responsibilities:

     Document best practices of ML to be followed by the IT Development and
    Business teams for indefectible ML systems and for the efficient flow of
    projects.
     Identify challenges faced by data analysts and data scientists and develop
    solutions to integrate into the existing platform.

     Possess good problem-solving skills and knowledge of machine learning
    techniques for solving a range of problems.
     Possess knowledge of neural network programs and natural language
    processing.
     Write programs and algorithms to extract insights from large data sets.

    Qualifications 要求:

     6+ years of experience as Machine Learning Engineer with Optical
    character recognition.
     Proficient in contextualizing PDF documents with Enterprise systems like
    SAP, TrackSys, Aveva PI etc.
     Implement AI and ML solutions and establish system operations and
    maintenance structures.
     Provide strategic and operational advice to the stakeholders regarding
    AI/ML infrastructure to serve current and future needs.
     Transform data science prototypes and optimise machine learning
    solutions for scalability and deployment into production.
     Design dynamic ML models and systems which have the ability to train,
    retrain, and untrain themselves whenever required.
     Periodically evaluate the ML systems and ensure that end solutions are in
    alignment with corporate and IT strategies.
     Evaluate the variations in data distribution that affects the model
    performance.
     Visualise data for insights and perform statistical analysis, applying new
    insights to improve the model.

    Interested in this opportunity? Note: If you were referred by an employee (they set-up your profile) to this opportunity, you can add and/or update your resume/CV before or after applying to this position.
    对这个职位感兴趣?注意:如果我们的员工推荐过您应聘这个职位(他为您建立过档案),您可以在申请职位之前/之后,添加/修改您的简历。
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